A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.119369, -0.433868, 0.893034], [-0.990549, 0.113242, -0.077387], [-0.067553, -0.893832, -0.443285]] and translation vector: [3.407035, 4.679209, 1.397058], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.120544, -0.432859, 0.893366], [-0.990306, 0.115004, -0.077902], [-0.06902, -0.894096, -0.442526]] and translation vector: [3.401289, 4.681283, 1.397495], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.162977, -0.454909, 0.875498], [-0.983038, 0.15052, -0.104785], [-0.084112, -0.877725, -0.471725]] and translation vector: [3.342063, 4.674428, 1.399173]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.767458, -0.265442, 0.583565], [-0.640543, 0.35536, -0.680752], [-0.026676, -0.896248, -0.442751]] and translation vector: [3.343537, 3.697402, 1.375352], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.780866, -0.263741, 0.566294], [-0.624403, 0.357431, -0.694525], [-0.019236, -0.895926, -0.443786]] and translation vector: [3.344022, 3.709659, 1.376654], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.822146, -0.253316, 0.509811], [-0.569276, 0.364542, -0.736908], [0.000823, -0.896069, -0.443913]] and translation vector: [3.329204, 3.745763, 1.383552]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.612656, -0.411508, 0.674769], [-0.789543, 0.280105, -0.546043], [0.035694, -0.867296, -0.496511]] and translation vector: [1.897828, 2.372103, 1.388776], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.615876, -0.406578, 0.674826], [-0.787242, 0.284147, -0.547275], [0.03076, -0.868305, -0.495075]] and translation vector: [1.892345, 2.36762, 1.390764], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.607068, -0.416916, 0.676498], [-0.79419, 0.289362, -0.534352], [0.027027, -0.861656, -0.506773]] and translation vector: [1.87873, 2.3614, 1.391886]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.221984, 0.421429, -0.879273], [0.97466, 0.121427, -0.187867], [0.027595, -0.898695, -0.437705]] and translation vector: [3.155292, 0.483793, 1.35371], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.224547, 0.416482, -0.880978], [0.973822, 0.128715, -0.187361], [0.035363, -0.899986, -0.434482]] and translation vector: [3.157119, 0.483672, 1.354178], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.215665, 0.423756, -0.879727], [0.975658, 0.130183, -0.176474], [0.039743, -0.896373, -0.441517]] and translation vector: [3.155366, 0.486351, 1.353433]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.955421, 0.119616, -0.269932], [0.295248, 0.388339, -0.872939], [0.000408, -0.91372, -0.406343]] and translation vector: [2.65583, 2.981598, 1.368648], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.951595, 0.120375, -0.282803], [0.307283, 0.392547, -0.866882], [0.006663, -0.91182, -0.410535]] and translation vector: [2.655525, 2.981353, 1.361859], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.943467, 0.154725, -0.293138], [0.331247, 0.407989, -0.850776], [-0.01204, -0.89978, -0.436177]] and translation vector: [2.636264, 2.98502, 1.345518]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.908726, 0.150598, -0.389277], [0.406624, 0.108936, -0.907078], [-0.094198, -0.982575, -0.16023]] and translation vector: [8.822721, 3.830595, 1.476402], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.908663, 0.151907, -0.388916], [0.40641, 0.108245, -0.907256], [-0.09572, -0.98245, -0.160095]] and translation vector: [8.818814, 3.832555, 1.475788], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.906287, 0.145588, -0.396797], [0.413103, 0.106574, -0.904427], [-0.089385, -0.983589, -0.156729]] and translation vector: [8.811844, 3.835278, 1.478992]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.895509, 0.17248, -0.410263], [0.444823, 0.375965, -0.812886], [0.014038, -0.91044, -0.413402]] and translation vector: [2.818061, 5.409916, 1.54775], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.895274, 0.172164, -0.410907], [0.445264, 0.376844, -0.812237], [0.01501, -0.910136, -0.414037]] and translation vector: [2.819061, 5.407142, 1.548651], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.894314, 0.169155, -0.414233], [0.446992, 0.379174, -0.810201], [0.020016, -0.909733, -0.414712]] and translation vector: [2.82614, 5.405447, 1.545731]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.852441, 0.228219, -0.470383], [0.522431, 0.337001, -0.78326], [-0.020235, -0.913426, -0.406502]] and translation vector: [1.798405, 5.320803, 1.619482], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.850776, 0.231102, -0.471988], [0.52508, 0.336676, -0.781627], [-0.021728, -0.91282, -0.407783]] and translation vector: [1.793927, 5.32593, 1.618758], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.843319, 0.217806, -0.491298], [0.537393, 0.333805, -0.774456], [-0.004683, -0.917134, -0.398552]] and translation vector: [1.789976, 5.331068, 1.629155]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.443363, -0.325026, 0.835337], [-0.895367, 0.117125, -0.429651], [0.041809, -0.938424, -0.342946]] and translation vector: [2.190343, 3.392878, 1.594635], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.439336, -0.32163, 0.838772], [-0.897253, 0.111545, -0.427195], [0.043838, -0.940272, -0.337589]] and translation vector: [2.183471, 3.393708, 1.586874], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.44052, -0.339041, 0.83126], [-0.896776, 0.123224, -0.424981], [0.041655, -0.932667, -0.358326]] and translation vector: [2.168168, 3.37614, 1.57519]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.236277, -0.452541, 0.859872], [-0.970097, 0.160455, -0.182119], [-0.055554, -0.877189, -0.47692]] and translation vector: [1.575898, 1.961144, 1.314442], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.238966, -0.451212, 0.859828], [-0.9694, 0.162109, -0.184349], [-0.056205, -0.87757, -0.476143]] and translation vector: [1.575219, 1.960128, 1.313122], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.271686, -0.463311, 0.843522], [-0.960992, 0.177771, -0.211879], [-0.051788, -0.868182, -0.493536]] and translation vector: [1.583445, 1.96149, 1.313418]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.931668, 0.072515, -0.356001], [0.362912, -0.231685, 0.902561], [-0.017031, -0.970084, -0.24217]] and translation vector: [5.886859, 3.543659, 1.354971], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.931979, 0.073028, -0.355079], [0.362119, -0.233112, 0.902513], [-0.016864, -0.969704, -0.2437]] and translation vector: [5.882501, 3.543666, 1.354317], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.932369, 0.086637, -0.350973], [0.36142, -0.244825, 0.899687], [-0.007981, -0.965689, -0.259579]] and translation vector: [5.853946, 3.560033, 1.352092]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.688084, 0.423256, -0.589401], [0.725514, -0.415863, 0.54835], [-0.013017, -0.80493, -0.593227]] and translation vector: [3.968163, 0.8771, 1.421607], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.688048, 0.420794, -0.591205], [0.725576, -0.411726, 0.551381], [-0.011397, -0.80834, -0.588605]] and translation vector: [3.964529, 0.870938, 1.417962], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.665465, 0.44657, -0.598107], [0.746417, -0.402654, 0.529841], [-0.004219, -0.799027, -0.60128]] and translation vector: [3.954065, 0.866652, 1.420457]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.45377, -0.425062, 0.783208], [-0.891046, 0.227634, -0.392708], [-0.01136, -0.876074, -0.482043]] and translation vector: [2.25004, 3.862298, 1.519108], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.453547, -0.422981, 0.784463], [-0.891155, 0.226808, -0.392938], [-0.011717, -0.877294, -0.47981]] and translation vector: [2.249275, 3.861866, 1.519019], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.445149, -0.42745, 0.786847], [-0.895457, 0.212955, -0.390907], [-0.00047, -0.878599, -0.47756]] and translation vector: [2.244179, 3.86012, 1.517719]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.778266, 0.076502, -0.623257], [0.626532, 0.028295, -0.778882], [-0.041951, -0.996668, -0.069952]] and translation vector: [4.354075, 2.27787, 1.510689], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.774603, 0.078895, -0.627508], [0.631084, 0.031306, -0.775082], [-0.041505, -0.996391, -0.074039]] and translation vector: [4.353431, 2.276987, 1.507071], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.765589, 0.09814, -0.635801], [0.642341, 0.061836, -0.76392], [-0.035656, -0.99325, -0.110381]] and translation vector: [4.348542, 2.268086, 1.503072]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.997112, 0.02462, 0.071841], [-0.04661, 0.548461, -0.834876], [-0.059957, -0.835814, -0.545729]] and translation vector: [4.834615, 3.436689, 1.398379], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.998397, 0.025746, 0.050402], [-0.028149, 0.546702, -0.836854], [-0.0491, -0.836932, -0.545101]] and translation vector: [4.839047, 3.434593, 1.400064], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.999077, -0.037699, 0.020609], [-0.036788, 0.502836, -0.863599], [0.022194, -0.863559, -0.503759]] and translation vector: [4.856574, 3.440762, 1.395837]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.924593, 0.219455, -0.311397], [0.371095, 0.334047, -0.86643], [-0.086121, -0.916653, -0.390296]] and translation vector: [7.650298, 2.745242, 1.444521], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.925403, 0.221817, -0.30729], [0.368562, 0.337876, -0.866026], [-0.088274, -0.914679, -0.394425]] and translation vector: [7.650829, 2.747432, 1.442508], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.931334, 0.218695, -0.291187], [0.355288, 0.37018, -0.858334], [-0.079922, -0.902851, -0.422461]] and translation vector: [7.652313, 2.75096, 1.431448]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.927869, -0.125596, 0.351119], [-0.372891, -0.32108, 0.870551], [0.003399, -0.938687, -0.344754]] and translation vector: [5.442723, 4.031985, 1.348893], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.928984, -0.124208, 0.348657], [-0.370086, -0.32475, 0.870387], [0.005117, -0.937609, -0.347654]] and translation vector: [5.438782, 4.038163, 1.363364], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.930142, -0.10574, 0.351647], [-0.366759, -0.314483, 0.87555], [0.018006, -0.943355, -0.331295]] and translation vector: [5.443505, 4.02862, 1.369591]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.32152, -0.4706, 0.821681], [-0.946681, 0.178549, -0.268172], [-0.020508, -0.864092, -0.502915]] and translation vector: [2.120097, 2.367636, 1.494245], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.324752, -0.471365, 0.819971], [-0.945715, 0.173395, -0.274877], [-0.012612, -0.864725, -0.502087]] and translation vector: [2.101204, 2.346659, 1.492081], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.35351, -0.420371, 0.835655], [-0.935423, 0.155099, -0.317693], [0.00394, -0.893998, -0.448054]] and translation vector: [2.068189, 2.338444, 1.524964]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.504428, 0.479717, -0.717931], [0.860003, -0.204862, 0.467362], [0.077124, -0.853173, -0.515896]] and translation vector: [4.973708, 0.412451, 1.573636], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.50991, 0.478461, -0.714889], [0.856537, -0.205494, 0.47341], [0.079603, -0.853725, -0.514603]] and translation vector: [4.974949, 0.42052, 1.588198], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.529349, 0.450337, -0.719018], [0.846093, -0.217693, 0.486556], [0.062589, -0.865914, -0.496262]] and translation vector: [4.987175, 0.423323, 1.59454]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.070416, -0.411804, 0.908548], [-0.99671, 0.065705, -0.047468], [-0.040148, -0.908901, -0.415075]] and translation vector: [2.214543, 1.806687, 1.391502], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.072195, -0.409813, 0.909308], [-0.996578, 0.066438, -0.049181], [-0.040258, -0.909747, -0.413207]] and translation vector: [2.216063, 1.808517, 1.395188], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.080916, -0.398975, 0.913384], [-0.996223, 0.061337, -0.061462], [-0.031503, -0.914908, -0.402432]] and translation vector: [2.214478, 1.812354, 1.396036]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.349467, 0.022881, -0.936669], [0.936944, -0.011774, 0.349282], [-0.003037, -0.999669, -0.025553]] and translation vector: [3.08553, 2.787215, 1.609269], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.348555, 0.021762, -0.937036], [0.937279, -0.012701, 0.34835], [-0.00432, -0.999682, -0.024824]] and translation vector: [3.086167, 2.787834, 1.610474], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.369988, 0.031522, -0.928502], [0.929035, -0.010749, 0.369835], [0.001677, -0.999445, -0.033262]] and translation vector: [3.084904, 2.78765, 1.611416]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.986418, -0.051155, 0.156087], [-0.152905, 0.633099, -0.758819], [-0.060001, -0.772379, -0.632322]] and translation vector: [2.055195, 1.600374, 1.268236], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.986809, -0.050817, 0.15371], [-0.151071, 0.630346, -0.761474], [-0.058194, -0.77465, -0.629707]] and translation vector: [2.054364, 1.600927, 1.26836], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.986971, -0.056701, 0.150577], [-0.152339, 0.630474, -0.761115], [-0.051779, -0.774137, -0.630897]] and translation vector: [2.055561, 1.60142, 1.26922]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.987126, 0.106622, -0.119219], [0.159938, -0.652529, 0.740693], [0.00118, -0.750225, -0.661181]] and translation vector: [4.64166, 4.052867, 1.404314], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.987387, 0.107853, -0.115912], [0.158278, -0.654013, 0.73974], [0.003975, -0.748756, -0.662834]] and translation vector: [4.649776, 4.051806, 1.400746], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.98973, 0.078153, -0.119695], [0.141622, -0.649931, 0.746681], [-0.019438, -0.755964, -0.654324]] and translation vector: [4.654046, 4.058671, 1.412681]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.994446, -0.078697, 0.06988], [-0.104992, -0.787844, 0.606859], [0.007297, -0.610826, -0.791731]] and translation vector: [1.305105, 0.510448, 1.183315], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.994112, -0.083607, 0.068931], [-0.10831, -0.785774, 0.608956], [0.003251, -0.612836, -0.790203]] and translation vector: [1.308194, 0.508844, 1.184721], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.994174, -0.088174, 0.061991], [-0.107635, -0.781912, 0.614026], [-0.00567, -0.617121, -0.786848]] and translation vector: [1.316761, 0.496028, 1.1951]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.481759, -0.460793, 0.745371], [-0.875469, 0.290199, -0.386444], [-0.038235, -0.838722, -0.543216]] and translation vector: [3.08436, 2.075189, 1.468295], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.482142, -0.463533, 0.743422], [-0.87538, 0.289132, -0.387445], [-0.035354, -0.83758, -0.54517]] and translation vector: [3.085865, 2.079347, 1.468915], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.466183, -0.466331, 0.751804], [-0.884097, 0.276631, -0.376626], [-0.03234, -0.840244, -0.541243]] and translation vector: [3.069418, 2.081707, 1.467716]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.975982, 0.033782, -0.215214], [0.215389, -0.297687, 0.930048], [-0.032648, -0.954066, -0.297814]] and translation vector: [2.838751, 1.414222, 1.664536], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.976127, 0.034525, -0.21444], [0.21483, -0.298963, 0.929769], [-0.03201, -0.95364, -0.299243]] and translation vector: [2.83798, 1.414721, 1.663024], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.977071, 0.035817, -0.209879], [0.210869, -0.299025, 0.930655], [-0.029426, -0.953573, -0.299721]] and translation vector: [2.830656, 1.415531, 1.663803]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.054781, -0.427281, 0.902458], [-0.998013, -0.051617, 0.036143], [0.031139, -0.902644, -0.429259]] and translation vector: [1.328526, 0.849821, 1.501181], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.086578, -0.407933, 0.908898], [-0.995883, -0.060028, 0.067922], [0.026852, -0.911036, -0.41145]] and translation vector: [1.314662, 0.836147, 1.492068], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.123316, -0.40327, 0.906734], [-0.991749, -0.082348, 0.098253], [0.035045, -0.911368, -0.410097]] and translation vector: [1.307532, 0.816785, 1.49678]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.140295, 0.625342, -0.767636], [0.990108, -0.090149, 0.107516], [-0.001967, -0.775126, -0.631804]] and translation vector: [3.410891, 3.073526, 1.198756], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.148525, 0.612201, -0.776627], [0.988818, -0.102561, 0.108258], [-0.013376, -0.784022, -0.620589]] and translation vector: [3.421496, 3.097678, 1.206193], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.180299, 0.582031, -0.792926], [0.982291, -0.148308, 0.114495], [-0.050958, -0.799528, -0.598463]] and translation vector: [3.423417, 3.182928, 1.218892]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.408988, -0.323891, 0.853126], [-0.912443, -0.158736, 0.37716], [0.013263, -0.932683, -0.360453]] and translation vector: [3.672612, 2.990265, 1.494339], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.403714, -0.307769, 0.861564], [-0.914697, -0.154884, 0.373283], [0.018558, -0.93877, -0.344045]] and translation vector: [3.67724, 2.998002, 1.501107], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.418114, -0.223767, 0.880403], [-0.907864, -0.136047, 0.396578], [0.031035, -0.965101, -0.260033]] and translation vector: [3.686426, 2.992862, 1.516855]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.804414, -0.195207, 0.561082], [-0.593456, -0.306943, 0.74404], [0.026978, -0.931494, -0.362756]] and translation vector: [4.397897, 1.805397, 1.263968], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.81043, -0.19082, 0.553888], [-0.585149, -0.309439, 0.749566], [0.028363, -0.931577, -0.362436]] and translation vector: [4.406421, 1.797547, 1.276681], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.835561, -0.15907, 0.525866], [-0.54802, -0.309079, 0.777267], [0.038894, -0.937639, -0.345428]] and translation vector: [4.454782, 1.746297, 1.281162]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.454685, 0.144673, -0.878824], [0.890085, 0.109034, -0.442562], [0.031795, -0.983454, -0.178347]] and translation vector: [3.311996, 2.119304, 1.59409], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.453171, 0.138778, -0.880555], [0.890847, 0.10604, -0.441756], [0.032068, -0.98463, -0.171684]] and translation vector: [3.314367, 2.120091, 1.591769], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.43605, 0.134523, -0.889811], [0.898328, 0.123911, -0.42149], [0.053558, -0.983133, -0.174877]] and translation vector: [3.332471, 2.052713, 1.580764]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.51864, -0.44867, 0.727811], [-0.853934, -0.229463, 0.467059], [-0.04255, -0.863738, -0.502143]] and translation vector: [1.002297, 1.98866, 1.344191], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.519607, -0.444592, 0.729621], [-0.853432, -0.229314, 0.468049], [-0.040778, -0.865883, -0.498582]] and translation vector: [1.000441, 1.985865, 1.344846], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.525099, -0.430062, 0.734383], [-0.8496, -0.214703, 0.48175], [-0.049508, -0.876898, -0.478121]] and translation vector: [0.994465, 1.977308, 1.35476]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.68967, 0.288211, -0.664297], [0.724122, -0.27239, 0.633602], [0.001663, -0.918008, -0.396559]] and translation vector: [2.530043, 2.005069, 1.437417], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.68921, 0.288518, -0.66464], [0.724561, -0.273014, 0.632831], [0.001127, -0.917726, -0.397212]] and translation vector: [2.5334, 2.008455, 1.44069], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.695343, 0.287777, -0.658546], [0.718659, -0.271639, 0.640111], [0.005323, -0.918366, -0.395696]] and translation vector: [2.535345, 2.010031, 1.440264]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.24604, -0.551346, 0.797171], [-0.968826, -0.115295, 0.219278], [-0.028988, -0.826271, -0.562526]] and translation vector: [1.704247, 2.057158, 1.361636], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.236706, -0.55071, 0.800431], [-0.971342, -0.115817, 0.207564], [-0.021604, -0.826623, -0.562342]] and translation vector: [1.70792, 2.062619, 1.364929], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.170375, -0.545117, 0.820866], [-0.98536, -0.099505, 0.138438], [0.006215, -0.832434, -0.554089]] and translation vector: [1.68849, 2.12587, 1.375528]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.711391, -0.463973, 0.527875], [-0.700286, 0.531398, -0.476672], [-0.059349, -0.708763, -0.702945]] and translation vector: [2.53321, 4.394931, 1.530427], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.710702, -0.465347, 0.527594], [-0.701175, 0.5294, -0.477586], [-0.057065, -0.709357, -0.702536]] and translation vector: [2.526067, 4.393322, 1.526345], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.710832, -0.469663, 0.523579], [-0.701381, 0.52914, -0.477573], [-0.052748, -0.706702, -0.705542]] and translation vector: [2.532494, 4.391185, 1.524071]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.506976, -0.449046, 0.735753], [-0.861802, 0.247713, -0.442646], [0.016513, -0.858485, -0.512574]] and translation vector: [1.568574, 4.423309, 1.333385], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.503836, -0.444181, 0.740846], [-0.863753, 0.25025, -0.437385], [0.008882, -0.860278, -0.509748]] and translation vector: [1.576928, 4.418399, 1.331934], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.476896, -0.475938, 0.738954], [-0.878865, 0.245876, -0.408828], [0.012886, -0.84441, -0.535543]] and translation vector: [1.618973, 4.377153, 1.328238]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.857694, 0.203115, -0.472341], [0.513544, 0.293426, -0.806333], [-0.025181, -0.934155, -0.355978]] and translation vector: [3.161674, 3.662206, 1.335287], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.856666, 0.203827, -0.473897], [0.515344, 0.296604, -0.804019], [-0.023321, -0.932995, -0.359132]] and translation vector: [3.164327, 3.659025, 1.330704], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.851543, 0.201203, -0.48414], [0.523447, 0.274112, -0.806762], [-0.029614, -0.940415, -0.338738]] and translation vector: [3.169208, 3.645592, 1.345035]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.861262, 0.35211, -0.366398], [0.508128, 0.60504, -0.61297], [0.005853, -0.714105, -0.700014]] and translation vector: [3.145762, 3.637784, 1.437024], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.859655, 0.347273, -0.374693], [0.510745, 0.600786, -0.614977], [0.011546, -0.720041, -0.693836]] and translation vector: [3.145171, 3.63531, 1.440385], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.904923, 0.242096, -0.350005], [0.423906, 0.585528, -0.690985], [0.037653, -0.773658, -0.632485]] and translation vector: [3.179198, 3.619442, 1.477378]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.624751, -0.31057, 0.716403], [-0.780527, -0.273701, 0.562018], [0.021534, -0.910293, -0.413403]] and translation vector: [-0.212106, 0.775797, 1.619325], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.624146, -0.312612, 0.716042], [-0.781019, -0.274551, 0.56092], [0.02124, -0.909338, -0.415515]] and translation vector: [-0.212874, 0.777223, 1.616059], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.642142, -0.354499, 0.679694], [-0.766394, -0.316707, 0.558871], [0.017145, -0.879788, -0.475057]] and translation vector: [-0.180935, 0.825968, 1.590205]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.984594, -0.069457, 0.160469], [-0.174127, -0.305795, 0.936039], [-0.015944, -0.949561, -0.313178]] and translation vector: [3.941113, 2.817773, 1.559826], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.984592, -0.069572, 0.160429], [-0.174152, -0.307406, 0.935507], [-0.015768, -0.949032, -0.314785]] and translation vector: [3.94407, 2.817183, 1.553188], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.986412, -0.069361, 0.14893], [-0.163547, -0.328462, 0.93025], [-0.015605, -0.941967, -0.335343]] and translation vector: [3.970874, 2.81883, 1.551708]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.565317, -0.50256, 0.654103], [-0.824719, 0.328974, -0.460017], [0.016003, -0.799506, -0.600445]] and translation vector: [4.07549, 5.065369, 1.281872], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.538132, -0.502349, 0.676801], [-0.842747, 0.30749, -0.441846], [0.013851, -0.808143, -0.588824]] and translation vector: [4.054681, 5.042427, 1.283033], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.45677, -0.532015, 0.712967], [-0.889546, 0.265624, -0.371689], [0.008363, -0.803993, -0.594581]] and translation vector: [3.985017, 4.950093, 1.286783]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.971613, -0.06682, 0.226943], [-0.235147, 0.378036, -0.89543], [-0.02596, -0.923376, -0.383017]] and translation vector: [2.775299, 4.618156, 1.427592], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.969099, -0.066923, 0.237421], [-0.244849, 0.377786, -0.892932], [-0.029937, -0.923471, -0.382498]] and translation vector: [2.770648, 4.620754, 1.418404], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.959375, -0.08118, 0.270203], [-0.280099, 0.388898, -0.877669], [-0.033832, -0.917697, -0.395838]] and translation vector: [2.756619, 4.594989, 1.414391]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.218501, -0.721835, 0.656667], [-0.97193, -0.10083, 0.212566], [-0.087226, -0.684681, -0.723605]] and translation vector: [2.10902, 2.428258, 1.386435], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.218569, -0.722397, 0.656026], [-0.971546, -0.098231, 0.215522], [-0.091251, -0.684466, -0.723312]] and translation vector: [2.107975, 2.430531, 1.385643], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.234983, -0.674252, 0.70012], [-0.966581, -0.086145, 0.241454], [-0.102489, -0.73346, -0.671961]] and translation vector: [2.089091, 2.418566, 1.400829]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.863619, -0.252896, 0.436126], [-0.502889, 0.371124, -0.780621], [0.03556, -0.893482, -0.447688]] and translation vector: [2.007098, 3.82416, 1.536992], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.862677, -0.255046, 0.436739], [-0.504412, 0.370978, -0.779707], [0.036841, -0.892932, -0.448682]] and translation vector: [2.007321, 3.81907, 1.542811], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.863059, -0.255804, 0.435538], [-0.503401, 0.36489, -0.783226], [0.041429, -0.89522, -0.443694]] and translation vector: [2.011345, 3.815826, 1.540639]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.311411, -0.45253, 0.835607], [-0.948656, 0.199362, -0.245576], [-0.055457, -0.869179, -0.491379]] and translation vector: [2.299133, 2.388773, 1.459468], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.314195, -0.454542, 0.833471], [-0.947818, 0.20019, -0.248124], [-0.05407, -0.867937, -0.493722]] and translation vector: [2.299448, 2.389842, 1.45904], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.319309, -0.479365, 0.817466], [-0.946515, 0.203543, -0.250358], [-0.046377, -0.853686, -0.518719]] and translation vector: [2.297309, 2.382683, 1.450072]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.922168, 0.178823, -0.342969], [0.38661, 0.453076, -0.803278], [0.011746, -0.873352, -0.486947]] and translation vector: [3.207336, 1.959871, 1.267555], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.914921, 0.180426, -0.361063], [0.403188, 0.450583, -0.796502], [0.018979, -0.874312, -0.484993]] and translation vector: [3.204391, 1.957541, 1.273759], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.899907, 0.183343, -0.395667], [0.435126, 0.437531, -0.786913], [0.028842, -0.880314, -0.473515]] and translation vector: [3.195998, 1.957617, 1.285169]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.037281, 0.595041, -0.80283], [0.998378, -0.012419, -0.055566], [-0.043034, -0.803599, -0.593613]] and translation vector: [3.95675, 2.244474, 1.442954], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.038109, 0.594465, -0.803218], [0.998341, -0.012073, -0.056302], [-0.043167, -0.80403, -0.593019]] and translation vector: [3.957906, 2.244142, 1.441716], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.035792, 0.584102, -0.810891], [0.99863, -0.010099, -0.051354], [-0.038185, -0.811617, -0.58294]] and translation vector: [3.956708, 2.24149, 1.443636]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.941243, -0.209403, 0.264975], [-0.336113, 0.504116, -0.795548], [0.033012, -0.837865, -0.544878]] and translation vector: [4.828751, 9.008894, 1.463441], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.939528, -0.206646, 0.273103], [-0.341818, 0.516505, -0.785101], [0.021179, -0.830976, -0.555906]] and translation vector: [4.819307, 9.009376, 1.463735], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.929333, -0.218512, 0.297646], [-0.368979, 0.519063, -0.770992], [0.013974, -0.826333, -0.563008]] and translation vector: [4.802584, 9.04943, 1.458571]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.341382, 0.594812, -0.727775], [0.932196, 0.11517, -0.343142], [-0.120287, -0.795572, -0.593798]] and translation vector: [7.151203, 3.587152, 1.581923], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.344041, 0.585523, -0.734029], [0.930897, 0.110501, -0.348168], [-0.122749, -0.803089, -0.583079]] and translation vector: [7.150104, 3.60012, 1.584136], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.381268, 0.567894, -0.729473], [0.913798, 0.111991, -0.390424], [-0.140025, -0.815448, -0.561639]] and translation vector: [7.153435, 3.678253, 1.582921]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.631332, 0.312126, -0.709927], [0.775472, -0.26347, 0.573784], [-0.007951, -0.912776, -0.408382]] and translation vector: [1.600176, 0.624978, 1.327739], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.627277, 0.311053, -0.713982], [0.778666, -0.267257, 0.567673], [-0.014241, -0.912041, -0.409851]] and translation vector: [1.601099, 0.627571, 1.328079], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.610657, 0.317655, -0.725393], [0.791862, -0.253314, 0.555685], [-0.007236, -0.913744, -0.406226]] and translation vector: [1.603666, 0.628049, 1.323957]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.283698, -0.38675, 0.877463], [-0.95878, 0.129662, -0.252839], [-0.015988, -0.913024, -0.407593]] and translation vector: [3.69525, 3.551647, 1.352095], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.292652, -0.378333, 0.878191], [-0.956147, 0.127043, -0.2639], [-0.011726, -0.91691, -0.398922]] and translation vector: [3.694781, 3.553972, 1.346799], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.31632, -0.391232, 0.864222], [-0.948647, 0.127329, -0.28958], [0.003253, -0.911441, -0.411418]] and translation vector: [3.701458, 3.559184, 1.352364]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.831143, 0.312948, -0.459636], [0.555586, 0.43327, -0.709649], [-0.022937, -0.845187, -0.533978]] and translation vector: [2.360292, 3.05803, 1.315354], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.8108, 0.328121, -0.484706], [0.584922, 0.423558, -0.691711], [-0.021664, -0.844355, -0.535346]] and translation vector: [2.374215, 3.08026, 1.318953], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.76064, 0.373644, -0.530865], [0.648502, 0.400127, -0.647568], [-0.029546, -0.836832, -0.546661]] and translation vector: [2.421989, 3.144455, 1.295588]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.963317, 0.154363, -0.219528], [0.260086, 0.335369, -0.905474], [-0.066149, -0.929355, -0.363214]] and translation vector: [5.972451, 2.818726, 1.468896], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.963149, 0.154275, -0.220326], [0.260736, 0.334417, -0.905639], [-0.066037, -0.929712, -0.362318]] and translation vector: [5.973901, 2.819783, 1.467855], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.966667, 0.155296, -0.203565], [0.245918, 0.341836, -0.907013], [-0.07127, -0.926839, -0.368632]] and translation vector: [5.982299, 2.822232, 1.456096]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.48142, 0.335029, -0.809933], [0.872625, 0.096524, -0.478757], [-0.08222, -0.937251, -0.338823]] and translation vector: [4.429162, 2.287411, 1.464776], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.484328, 0.331289, -0.809737], [0.871134, 0.09698, -0.481374], [-0.080946, -0.938532, -0.335568]] and translation vector: [4.432656, 2.285767, 1.465956], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.510728, 0.315618, -0.799714], [0.857732, 0.123483, -0.499047], [-0.058757, -0.940817, -0.333782]] and translation vector: [4.456876, 2.264055, 1.467574]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.233902, -0.58763, 0.774584], [-0.967246, -0.059828, 0.246692], [-0.098622, -0.806915, -0.582377]] and translation vector: [0.860343, 3.117731, 1.418568], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.233684, -0.587102, 0.775051], [-0.967496, -0.061159, 0.24538], [-0.096661, -0.8072, -0.58231]] and translation vector: [0.859973, 3.119137, 1.418853], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.249158, -0.592393, 0.766154], [-0.964448, -0.07981, 0.251935], [-0.088098, -0.801687, -0.591217]] and translation vector: [0.847042, 3.133789, 1.403155]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.645842, -0.099101, 0.757012], [-0.761541, -0.013148, 0.647984], [-0.054263, -0.994991, -0.083961]] and translation vector: [3.729951, 1.432448, 1.733539], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.649827, -0.099601, 0.753528], [-0.757797, -0.00807, 0.652441], [-0.058903, -0.994995, -0.080722]] and translation vector: [3.727943, 1.43259, 1.731865], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.662065, -0.092976, 0.743657], [-0.747389, -0.008433, 0.664333], [-0.055496, -0.995633, -0.075073]] and translation vector: [3.728372, 1.436196, 1.743771]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.924746, 0.145405, -0.351715], [0.379908, 0.407811, -0.830277], [0.022707, -0.901414, -0.432362]] and translation vector: [3.891577, 4.106122, 1.335216], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.925289, 0.144931, -0.350479], [0.378485, 0.412032, -0.828842], [0.024284, -0.899569, -0.436102]] and translation vector: [3.892777, 4.104329, 1.336806], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.936719, 0.138164, -0.321666], [0.349495, 0.42231, -0.836366], [0.020288, -0.89586, -0.443873]] and translation vector: [3.898582, 4.105442, 1.335634]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.896132, -0.052356, 0.440688], [-0.436974, -0.277444, 0.855616], [0.07747, -0.959314, -0.271505]] and translation vector: [3.211431, 3.110947, 1.584554], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.889709, -0.065096, 0.451863], [-0.451099, -0.277541, 0.848222], [0.070195, -0.958506, -0.276295]] and translation vector: [3.215954, 3.116336, 1.570817], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.866761, -0.113538, 0.485628], [-0.495946, -0.298858, 0.815305], [0.052566, -0.94752, -0.315347]] and translation vector: [3.24594, 3.15503, 1.569742]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.052123, 0.492225, -0.868906], [0.996177, 0.08671, -0.010637], [0.070107, -0.866138, -0.494863]] and translation vector: [3.27549, 2.071379, 1.287401], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.035278, 0.492309, -0.869705], [0.997133, 0.075637, 0.002369], [0.066948, -0.867128, -0.493566]] and translation vector: [3.286684, 2.076202, 1.285681], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.002481, 0.481037, -0.876697], [0.99848, 0.047075, 0.028655], [0.055055, -0.875436, -0.480189]] and translation vector: [3.329912, 2.119781, 1.289403]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.935878, -0.161972, 0.312885], [-0.352322, 0.433116, -0.829627], [-0.001139, -0.886666, -0.46241]] and translation vector: [1.123681, 2.231354, 1.408983], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.935522, -0.159, 0.315466], [-0.353249, 0.430874, -0.830399], [-0.003893, -0.888294, -0.459258]] and translation vector: [1.123559, 2.231523, 1.408322], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.93225, -0.177625, 0.315214], [-0.361774, 0.444334, -0.819565], [0.005515, -0.878076, -0.47849]] and translation vector: [1.117516, 2.230649, 1.39948]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.305635, -0.390507, 0.868385], [-0.952144, 0.122302, -0.280116], [0.003183, -0.91244, -0.409198]] and translation vector: [4.266061, 1.773856, 1.285079], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.300987, -0.399102, 0.866097], [-0.953628, 0.125052, -0.273781], [0.00096, -0.908339, -0.418234]] and translation vector: [4.263163, 1.772832, 1.291083], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.290604, -0.37367, 0.880863], [-0.956686, 0.130175, -0.260397], [-0.017364, -0.918382, -0.395314]] and translation vector: [4.197608, 1.767915, 1.309526]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.485844, -0.617081, 0.619005], [-0.873216, -0.311825, 0.374512], [-0.038083, -0.722479, -0.690343]] and translation vector: [-0.164865, 3.073333, 1.323993], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.482952, -0.621872, 0.616468], [-0.874972, -0.315096, 0.367612], [-0.034361, -0.716931, -0.696297]] and translation vector: [-0.16601, 3.069565, 1.320265], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.481893, -0.627462, 0.611613], [-0.875383, -0.314055, 0.367526], [-0.038529, -0.712503, -0.70061]] and translation vector: [-0.162661, 3.069695, 1.32373]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.82141, -0.124481, 0.556588], [-0.562763, -0.33543, 0.755503], [0.092651, -0.933805, -0.345579]] and translation vector: [1.795382, 2.457259, 1.379582], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.820332, -0.124179, 0.558243], [-0.564621, -0.330977, 0.75608], [0.090876, -0.935432, -0.341626]] and translation vector: [1.795684, 2.460531, 1.380001], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.815123, -0.112718, 0.568216], [-0.568956, -0.340207, 0.748698], [0.108919, -0.933571, -0.341442]] and translation vector: [1.795413, 2.484714, 1.377791]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.464707, 0.496079, -0.733453], [0.882598, 0.326106, -0.338639], [0.071191, -0.804711, -0.589382]] and translation vector: [2.864701, 0.868861, 1.204561], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.473617, 0.501904, -0.723726], [0.878064, 0.332992, -0.343688], [0.068496, -0.798254, -0.598414]] and translation vector: [2.869803, 0.866998, 1.20304], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.486908, 0.474562, -0.733288], [0.872245, 0.308313, -0.379646], [0.045917, -0.82446, -0.564055]] and translation vector: [2.890215, 0.843054, 1.203118]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.199941, 0.263531, -0.943703], [0.979453, -0.027844, 0.19974], [0.026362, -0.964249, -0.263683]] and translation vector: [3.611549, 3.757055, 1.562045], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.20075, 0.267793, -0.94233], [0.97934, -0.030969, 0.199834], [0.024331, -0.962979, -0.268477]] and translation vector: [3.608934, 3.756757, 1.557843], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.195501, 0.302185, -0.932986], [0.980511, -0.041383, 0.192056], [0.019427, -0.95235, -0.304386]] and translation vector: [3.586484, 3.775929, 1.547968]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.869565, 0.231948, -0.435955], [0.492522, 0.471291, -0.731647], [0.035758, -0.850932, -0.524058]] and translation vector: [2.750575, 3.154689, 1.290553], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.871211, 0.246607, -0.424472], [0.49036, 0.478017, -0.72873], [0.023195, -0.843022, -0.53738]] and translation vector: [2.712538, 3.137298, 1.287246], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.868111, 0.301221, -0.394523], [0.496051, 0.497976, -0.711305], [-0.017797, -0.813195, -0.581719]] and translation vector: [2.638672, 3.09301, 1.251808]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.606468, -0.360414, 0.70873], [-0.789578, -0.16805, 0.590192], [-0.093612, -0.91753, -0.386492]] and translation vector: [2.373669, 6.226582, 1.48631], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.603564, -0.356146, 0.713352], [-0.791899, -0.163667, 0.588311], [-0.092772, -0.919986, -0.380815]] and translation vector: [2.370215, 6.229294, 1.484576], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.585698, -0.348105, 0.731971], [-0.805739, -0.152014, 0.572431], [-0.087997, -0.925048, -0.369516]] and translation vector: [2.368074, 6.23172, 1.479712]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.414473, -0.491559, 0.765887], [-0.909569, 0.196057, -0.366396], [0.029948, -0.848488, -0.528367]] and translation vector: [0.955419, 3.497842, 1.497559], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.410009, -0.490704, 0.768832], [-0.911757, 0.198024, -0.359841], [0.024328, -0.848526, -0.528594]] and translation vector: [0.937857, 3.503192, 1.495427], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.398859, -0.490133, 0.775036], [-0.916862, 0.197836, -0.346736], [0.016617, -0.848899, -0.528293]] and translation vector: [0.908797, 3.515594, 1.497193]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.935902, 0.160482, -0.313582], [0.351212, -0.493772, 0.795512], [-0.027173, -0.854655, -0.518485]] and translation vector: [4.465, -0.226232, 1.550028], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.933656, 0.161027, -0.319933], [0.356818, -0.495752, 0.791777], [-0.03111, -0.853405, -0.520319]] and translation vector: [4.478531, -0.229773, 1.540292], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.918867, 0.198209, -0.341168], [0.393883, -0.511652, 0.763589], [-0.023209, -0.836017, -0.548212]] and translation vector: [4.561479, -0.239772, 1.527731]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.079918, -0.690871, 0.718547], [-0.996802, 0.055321, -0.057677], [9.6e-05, -0.720858, -0.693082]] and translation vector: [1.142658, 0.968078, 1.385987], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.080635, -0.691404, 0.717954], [-0.996742, 0.054488, -0.059473], [0.002, -0.72041, -0.693545]] and translation vector: [1.144302, 0.967344, 1.387927], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.084359, -0.697761, 0.711347], [-0.996391, 0.05228, -0.066881], [0.009477, -0.714421, -0.699652]] and translation vector: [1.144001, 0.956717, 1.378471]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.799511, 0.533863, -0.275266], [0.600541, 0.71925, -0.349328], [0.011492, -0.4446, -0.895656]] and translation vector: [2.031323, 2.312379, 1.200993], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.794986, 0.540559, -0.275306], [0.606553, 0.715482, -0.346669], [0.009582, -0.442584, -0.896676]] and translation vector: [2.031011, 2.313572, 1.199732], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.773021, 0.563749, -0.290906], [0.633995, 0.702534, -0.323259], [0.022134, -0.434318, -0.900488]] and translation vector: [2.034953, 2.302037, 1.199248]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.573389, -0.355745, 0.738018], [-0.818965, 0.223754, -0.528424], [0.02285, -0.907403, -0.419641]] and translation vector: [2.061407, 3.857203, 1.382209], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.569689, -0.351701, 0.742806], [-0.821614, 0.221591, -0.525212], [0.020118, -0.909508, -0.4152]] and translation vector: [2.058259, 3.848013, 1.384733], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.577204, -0.345215, 0.740042], [-0.816391, 0.223437, -0.532524], [0.018482, -0.911539, -0.410799]] and translation vector: [2.052109, 3.841456, 1.390313]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.998162, -0.007354, -0.06016], [0.055338, 0.294228, -0.954132], [0.024717, -0.955707, -0.293281]] and translation vector: [1.687981, 4.43329, 1.569003], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.998237, -0.004775, -0.059163], [0.055295, 0.287523, -0.956176], [0.021577, -0.957762, -0.286752]] and translation vector: [1.687716, 4.435163, 1.571974], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.998336, 0.001509, -0.057642], [0.055709, 0.283251, -0.957427], [0.014882, -0.959045, -0.282864]] and translation vector: [1.68694, 4.439428, 1.572118]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.633294, -0.360819, 0.684652], [-0.773758, -0.312806, 0.550863], [0.015401, -0.878613, -0.477285]] and translation vector: [3.241882, 3.386626, 1.367882], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.618852, -0.359339, 0.698497], [-0.785116, -0.311057, 0.535572], [0.02482, -0.87984, -0.47462]] and translation vector: [3.234923, 3.400149, 1.365622], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.596077, -0.384708, 0.704764], [-0.800029, -0.359087, 0.480636], [0.068167, -0.850327, -0.521821]] and translation vector: [3.228332, 3.407161, 1.324573]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.977514, -0.102294, 0.184398], [-0.210796, -0.497303, 0.841578], [0.005613, -0.861525, -0.507684]] and translation vector: [3.555602, 1.207732, 1.356493], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.976582, -0.105336, 0.187593], [-0.215087, -0.498001, 0.840079], [0.00493, -0.860755, -0.508995]] and translation vector: [3.555365, 1.207812, 1.356155], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.974531, -0.107289, 0.196922], [-0.224038, -0.504207, 0.834016], [0.009809, -0.856892, -0.515402]] and translation vector: [3.552069, 1.20032, 1.350158]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.934222, -0.219071, 0.281493], [-0.356558, -0.595286, 0.72007], [0.009823, -0.773073, -0.634241]] and translation vector: [0.331108, 1.989283, 1.551545], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.93341, -0.222981, 0.281114], [-0.358788, -0.589093, 0.724045], [0.004154, -0.776691, -0.629868]] and translation vector: [0.338532, 1.98258, 1.554168], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.924209, -0.231475, 0.303738], [-0.381819, -0.575084, 0.723528], [0.007196, -0.784664, -0.619879]] and translation vector: [0.352139, 1.976578, 1.57555]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.928375, -0.17783, 0.326339], [-0.371449, 0.415395, -0.830345], [0.012101, -0.892089, -0.451697]] and translation vector: [2.096006, 1.919092, 1.36174], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.929206, -0.177937, 0.323905], [-0.369314, 0.414969, -0.83151], [0.013546, -0.892266, -0.451307]] and translation vector: [2.095672, 1.922099, 1.363168], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.930649, -0.183615, 0.31651], [-0.365027, 0.405695, -0.837954], [0.025454, -0.895375, -0.444584]] and translation vector: [2.086709, 1.937528, 1.366332]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.699126, -0.324611, 0.637064], [-0.713802, 0.265353, -0.648131], [0.041344, -0.907863, -0.417224]] and translation vector: [0.050403, 3.78209, 1.506908], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.698648, -0.327666, 0.636024], [-0.713993, 0.262294, -0.649166], [0.045885, -0.907654, -0.417203]] and translation vector: [0.047406, 3.786517, 1.504266], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.671591, -0.353844, 0.650968], [-0.738623, 0.250587, -0.625813], [0.058316, -0.901111, -0.429649]] and translation vector: [0.057884, 3.801169, 1.498956]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.892065, -0.360019, 0.273141], [-0.443019, -0.577417, 0.685801], [-0.089185, -0.732786, -0.674589]] and translation vector: [2.898737, 2.45906, 1.649541], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.888376, -0.366176, 0.276954], [-0.450762, -0.581088, 0.677606], [-0.087189, -0.726809, -0.681283]] and translation vector: [2.873446, 2.440832, 1.651115], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.866588, -0.389647, 0.31177], [-0.495846, -0.601945, 0.625939], [-0.056227, -0.697021, -0.714843]] and translation vector: [2.802999, 2.373059, 1.651133]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.660671, 0.426343, -0.617856], [0.749322, -0.423957, 0.508701], [-0.045063, -0.799057, -0.599565]] and translation vector: [1.739014, 2.260029, 1.323145], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.661948, 0.412501, -0.625834], [0.748146, -0.41469, 0.517987], [-0.045857, -0.811095, -0.583114]] and translation vector: [1.741474, 2.257287, 1.327618], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.667808, 0.364392, -0.649039], [0.743671, -0.363436, 0.561132], [-0.031412, -0.857399, -0.513693]] and translation vector: [1.753926, 2.258369, 1.342793]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image


A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image

Question: Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.997074, 0.061747, -0.045056], [0.074474, 0.651998, -0.754554], [-0.017215, -0.755702, -0.654689]] and translation vector: [1.815792, 5.369752, 1.288561], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.994543, 0.080066, -0.066881], [0.102674, 0.63762, -0.763478], [-0.018484, -0.766179, -0.642361]] and translation vector: [1.819087, 5.36055, 1.286161], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.977666, 0.151417, -0.145745], [0.209051, 0.629394, -0.748438], [-0.021596, -0.762191, -0.646992]] and translation vector: [1.833647, 5.312907, 1.282765]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images
Select from the following choices.
A: The 5th image
B: The 6th image
C: The 7th image
D: The 8th image