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: [[-0.042655, 0.409797, -0.911179], [0.998036, -0.024411, -0.0577], [-0.045888, -0.91185, -0.40795]] and translation vector: [2.423933, 1.356295, 3.282493], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.032887, 0.418885, -0.907444], [0.998611, -0.023628, -0.047098], [-0.041169, -0.907732, -0.417526]] and translation vector: [2.425306, 1.358764, 3.278826], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.041885, 0.387609, -0.920872], [0.998138, -0.024683, -0.055789], [-0.044354, -0.921493, -0.385853]] and translation vector: [2.418078, 1.34298, 3.29873]. 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: [[-0.241978, -0.427128, 0.871211], [-0.963615, 0.210861, -0.164264], [-0.113543, -0.879261, -0.462611]] and translation vector: [2.164319, 10.11033, 1.716674], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.23973, -0.426819, 0.871983], [-0.964754, 0.205144, -0.16482], [-0.108534, -0.880762, -0.460955]] and translation vector: [2.164643, 10.108889, 1.726434], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.169937, -0.42419, 0.889485], [-0.982379, 0.144175, -0.118927], [-0.077795, -0.894023, -0.441217]] and translation vector: [2.137954, 10.094281, 1.733226]. 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: [[0.753053, 0.123809, -0.646206], [0.619922, -0.462608, 0.633791], [-0.220471, -0.877875, -0.42512]] and translation vector: [4.259223, 3.769218, 1.505729], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.760823, 0.125761, -0.636658], [0.611756, -0.466381, 0.638939], [-0.216572, -0.875599, -0.431768]] and translation vector: [4.257898, 3.775608, 1.505422], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.792722, 0.129689, -0.595629], [0.575941, -0.479462, 0.662124], [-0.199711, -0.867927, -0.454772]] and translation vector: [4.245731, 3.788037, 1.507869]. 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: [[-0.40936, -0.486807, 0.77165], [-0.912164, 0.236459, -0.334729], [-0.019515, -0.840896, -0.540844]] and translation vector: [1.412713, 1.214489, 1.390939], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.417972, -0.487805, 0.766384], [-0.908352, 0.237425, -0.344277], [-0.014019, -0.840045, -0.542336]] and translation vector: [1.411881, 1.212071, 1.390231], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.442659, -0.487865, 0.752356], [-0.896674, 0.245809, -0.368176], [-0.005316, -0.837595, -0.546266]] and translation vector: [1.400211, 1.203382, 1.386707]. 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: [[0.999403, 0.004498, 0.03425], [-0.034232, -0.004158, 0.999405], [0.004638, -0.999981, -0.004001]] and translation vector: [2.393484, 5.775056, 1.371464], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.998454, -0.001139, 0.055575], [-0.055569, 0.004857, 0.998443], [-0.001408, -0.999988, 0.004786]] and translation vector: [2.356134, 5.774678, 1.367739], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.989764, 0.002175, 0.142698], [-0.142529, 0.066115, 0.98758], [-0.007287, -0.99781, 0.065748]] and translation vector: [2.255451, 5.785594, 1.33032]. 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: [[0.133825, -0.39571, 0.908573], [-0.990975, -0.046263, 0.125813], [-0.007752, -0.91721, -0.398329]] and translation vector: [4.990516, 4.227292, 1.32289], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.168071, -0.388121, 0.906153], [-0.985699, -0.054747, 0.159375], [-0.012247, -0.919981, -0.391772]] and translation vector: [4.987841, 4.19209, 1.32312], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.233014, -0.364692, 0.901501], [-0.972471, -0.085505, 0.216767], [-0.00197, -0.927194, -0.374577]] and translation vector: [4.985941, 4.092797, 1.324644]. 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: [[0.993306, 0.029023, -0.111812], [0.110831, -0.512349, 0.851596], [-0.032571, -0.858287, -0.512136]] and translation vector: [2.482234, 1.391135, 1.348064], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.992702, 0.031717, -0.116349], [0.116167, -0.510508, 0.85199], [-0.032374, -0.859288, -0.510467]] and translation vector: [2.48213, 1.388715, 1.34704], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.989452, 0.033499, -0.140936], [0.139029, -0.492892, 0.858911], [-0.040694, -0.869445, -0.49235]] and translation vector: [2.480608, 1.381749, 1.351104]. 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: [[0.473704, -0.275929, 0.836342], [-0.879436, -0.198746, 0.432542], [0.046868, -0.940406, -0.336809]] and translation vector: [2.984934, 2.048073, 1.446683], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.466625, -0.271085, 0.841888], [-0.8831, -0.195475, 0.426525], [0.048943, -0.942498, -0.330608]] and translation vector: [2.979092, 2.049407, 1.446378], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.457049, -0.259072, 0.850875], [-0.888339, -0.18058, 0.422191], [0.044273, -0.948827, -0.312678]] and translation vector: [2.973803, 2.044357, 1.455601]. 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: [[-0.996429, -0.081152, -0.023325], [-0.01119, 0.400709, -0.916137], [0.083693, -0.912604, -0.400187]] and translation vector: [7.365378, 2.610504, 1.343957], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.997089, -0.075007, -0.013671], [-0.016913, 0.392439, -0.919623], [0.074343, -0.916715, -0.392565]] and translation vector: [7.36531, 2.61944, 1.344548], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.997405, -0.064807, -0.031376], [0.004675, 0.376559, -0.926381], [0.071851, -0.924123, -0.375279]] and translation vector: [7.389543, 2.653858, 1.358479]. 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: [[0.994136, 0.036629, -0.101745], [0.107123, -0.462198, 0.880283], [-0.014782, -0.88602, -0.463411]] and translation vector: [3.8191, 1.340951, 1.354002], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.994264, 0.034625, -0.101195], [0.105882, -0.452335, 0.885541], [-0.015112, -0.891176, -0.453407]] and translation vector: [3.821174, 1.339834, 1.359098], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.998446, 0.039334, -0.039482], [0.052098, -0.407104, 0.911895], [0.019796, -0.912535, -0.408521]] and translation vector: [3.821787, 1.333543, 1.372052]. 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: [[-0.844798, -0.442354, 0.301064], [-0.534849, 0.714819, -0.450523], [-0.015916, -0.541624, -0.84047]] and translation vector: [3.085932, 7.995926, 1.934485], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.833593, -0.457276, 0.309873], [-0.552243, 0.702368, -0.449118], [-0.012274, -0.545507, -0.838017]] and translation vector: [3.091993, 8.002051, 1.93396], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.810018, -0.472367, 0.347478], [-0.58602, 0.673547, -0.450461], [-0.02126, -0.56851, -0.822401]] and translation vector: [3.083665, 8.001425, 1.939036]. 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: [[-0.937403, 0.174354, -0.301457], [0.34768, 0.517889, -0.781607], [0.019845, -0.837491, -0.54609]] and translation vector: [1.513881, 1.499843, 1.388066], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.93698, 0.17766, -0.300842], [0.348874, 0.522274, -0.77815], [0.018876, -0.834067, -0.551341]] and translation vector: [1.515168, 1.503997, 1.385631], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.940806, 0.177334, -0.288855], [0.338804, 0.516688, -0.786286], [0.009813, -0.837607, -0.546185]] and translation vector: [1.517717, 1.515309, 1.387193]. 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: [[-0.964843, 0.186346, -0.185345], [0.252505, 0.461537, -0.850426], [-0.07293, -0.867329, -0.492364]] and translation vector: [3.779865, 2.337391, 1.461827], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.966867, 0.182729, -0.178267], [0.244986, 0.467845, -0.849178], [-0.071768, -0.864715, -0.49711]] and translation vector: [3.779708, 2.335608, 1.46105], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.975115, 0.169172, -0.14329], [0.209929, 0.496761, -0.842115], [-0.071282, -0.85124, -0.519913]] and translation vector: [3.784041, 2.330569, 1.454727]. 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: [[-0.399387, 0.327689, -0.856218], [0.9115, 0.041819, -0.409169], [-0.098274, -0.94386, -0.315391]] and translation vector: [4.88233, 2.963563, 1.403722], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.394763, 0.316878, -0.86241], [0.913367, 0.033579, -0.40575], [-0.099614, -0.947872, -0.302681]] and translation vector: [4.88409, 2.965299, 1.400614], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.386874, 0.309114, -0.868779], [0.915474, 0.015736, -0.402069], [-0.110614, -0.950895, -0.289074]] and translation vector: [4.883719, 2.961581, 1.413125]. 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: [[-0.830629, 0.239867, -0.502514], [0.556756, 0.37214, -0.742654], [0.008867, -0.896647, -0.442658]] and translation vector: [4.849209, 2.614689, 1.447477], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.826514, 0.239564, -0.509396], [0.562778, 0.371773, -0.738286], [0.012512, -0.89688, -0.442097]] and translation vector: [4.848542, 2.612423, 1.449706], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.822193, 0.245879, -0.513364], [0.569134, 0.369775, -0.734406], [0.009254, -0.895997, -0.443965]] and translation vector: [4.848, 2.609138, 1.450893]. 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: [[0.815869, 0.244354, -0.524069], [0.578211, -0.336271, 0.743367], [0.005416, -0.909513, -0.415641]] and translation vector: [2.358014, 1.230078, 1.369842], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.817563, 0.244526, -0.521342], [0.575764, -0.332513, 0.746947], [0.009295, -0.910847, -0.41264]] and translation vector: [2.355037, 1.229076, 1.372478], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.827304, 0.233324, -0.511006], [0.561698, -0.330711, 0.758371], [0.007951, -0.914434, -0.404656]] and translation vector: [2.3528, 1.226651, 1.376959]. 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: [[-0.880278, -0.246293, 0.405524], [-0.473973, 0.417832, -0.775091], [0.021459, -0.874503, -0.484545]] and translation vector: [3.281806, 2.754624, 1.352781], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.883446, -0.241464, 0.401521], [-0.467927, 0.41107, -0.782347], [0.023856, -0.879043, -0.476146]] and translation vector: [3.2823, 2.745028, 1.352692], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.889317, -0.237291, 0.390907], [-0.456246, 0.402627, -0.793556], [0.030913, -0.884073, -0.466326]] and translation vector: [3.299646, 2.724283, 1.356988]. 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: [[-0.752388, 0.33007, -0.570058], [0.655329, 0.287372, -0.698542], [-0.066749, -0.89915, -0.43252]] and translation vector: [3.814293, 2.583141, 1.394159], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.750374, 0.330815, -0.572276], [0.657793, 0.28836, -0.695813], [-0.065164, -0.89856, -0.433986]] and translation vector: [3.802971, 2.57897, 1.383742], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.774913, 0.365169, -0.515909], [0.625622, 0.32685, -0.708355], [-0.090045, -0.871677, -0.481738]] and translation vector: [3.702851, 2.52357, 1.379531]. 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: [[0.764638, 0.028658, -0.643823], [0.64431, -0.055554, 0.762744], [-0.013909, -0.998044, -0.060944]] and translation vector: [3.061982, 3.98913, 1.495508], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.765028, 0.027801, -0.643396], [0.643825, -0.056098, 0.763114], [-0.014878, -0.998038, -0.060816]] and translation vector: [3.064652, 3.991985, 1.487138], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.769869, 0.028995, -0.637544], [0.638044, -0.057257, 0.767869], [-0.01424, -0.997939, -0.06258]] and translation vector: [3.059477, 3.994236, 1.491082]. 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: [[-0.436119, -0.427186, 0.79203], [-0.89981, 0.218659, -0.377532], [-0.011909, -0.877326, -0.479747]] and translation vector: [1.992302, 3.72193, 1.553249], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.436462, -0.426736, 0.792084], [-0.899636, 0.219226, -0.377618], [-0.012502, -0.877403, -0.47959]] and translation vector: [1.991236, 3.722176, 1.553282], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.436236, -0.428201, 0.791418], [-0.899775, 0.217489, -0.37829], [-0.010141, -0.877122, -0.480161]] and translation vector: [1.989599, 3.72313, 1.552786]. 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: [[0.985254, -0.134646, 0.105573], [-0.142287, -0.302097, 0.942599], [-0.095024, -0.94372, -0.3168]] and translation vector: [1.134605, 1.549487, 1.505245], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.985752, -0.13049, 0.106142], [-0.141062, -0.297585, 0.944216], [-0.091624, -0.945736, -0.311752]] and translation vector: [1.131707, 1.551058, 1.506377], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.987724, -0.11535, 0.105339], [-0.134913, -0.289999, 0.94747], [-0.078743, -0.95005, -0.302001]] and translation vector: [1.113611, 1.565945, 1.522577]. 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: [[0.567127, -0.123224, 0.81436], [-0.823556, -0.071568, 0.562702], [-0.011056, -0.989795, -0.14207]] and translation vector: [0.249561, 0.967409, 1.634127], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.566682, -0.123694, 0.814599], [-0.82386, -0.07149, 0.562268], [-0.011313, -0.989742, -0.142418]] and translation vector: [0.249762, 0.967631, 1.633273], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.570813, -0.115531, 0.812912], [-0.82106, -0.073224, 0.566127], [-0.005881, -0.990601, -0.136655]] and translation vector: [0.269192, 0.984284, 1.63838]. 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: [[-0.08083, -0.463089, 0.882618], [-0.994842, 0.091929, -0.042874], [-0.061284, -0.881531, -0.468131]] and translation vector: [4.543997, 3.147744, 1.235262], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.097623, -0.477164, 0.873375], [-0.993778, 0.094019, -0.059714], [-0.05362, -0.873771, -0.483373]] and translation vector: [4.550471, 3.148599, 1.246367], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.130487, -0.461277, 0.877608], [-0.991003, 0.087264, -0.101481], [-0.029773, -0.882954, -0.468514]] and translation vector: [4.556965, 3.161462, 1.2534]. 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: [[0.117057, -0.769276, 0.628102], [-0.987232, -0.021336, 0.157855], [-0.108033, -0.638561, -0.761951]] and translation vector: [1.032686, 1.226834, 2.186959], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.111522, -0.769903, 0.628341], [-0.98843, -0.020525, 0.150284], [-0.102807, -0.637831, -0.763284]] and translation vector: [1.037875, 1.232625, 2.186027], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.047902, -0.766247, 0.640758], [-0.996596, 0.006426, 0.082189], [-0.067095, -0.642514, -0.763331]] and translation vector: [1.085053, 1.269848, 2.178721]. 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: [[-0.824719, -0.175736, 0.537546], [-0.564369, 0.316962, -0.762249], [-0.036427, -0.932015, -0.360584]] and translation vector: [4.397487, 4.054199, 1.411764], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.821778, -0.181799, 0.540028], [-0.568729, 0.319986, -0.757731], [-0.035047, -0.929816, -0.366351]] and translation vector: [4.391561, 4.044915, 1.406417], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.814573, -0.211319, 0.540199], [-0.579135, 0.348873, -0.736811], [-0.032758, -0.913034, -0.406565]] and translation vector: [4.415594, 3.989866, 1.391957]. 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: [[0.14018, 0.443083, -0.885453], [0.989985, -0.07783, 0.117782], [-0.016727, -0.893096, -0.449556]] and translation vector: [3.549726, 0.935059, 1.485921], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.140682, 0.443565, -0.885132], [0.989931, -0.077142, 0.11868], [-0.015638, -0.892916, -0.449951]] and translation vector: [3.549777, 0.934132, 1.483108], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.137256, 0.445178, -0.88486], [0.99043, -0.074707, 0.116046], [-0.014444, -0.89232, -0.451172]] and translation vector: [3.545579, 0.936731, 1.483973]. 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: [[0.59597, 0.482312, -0.642025], [0.802979, -0.35126, 0.4815], [0.006716, -0.802491, -0.596626]] and translation vector: [3.449961, 1.112515, 1.412234], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.596047, 0.483799, -0.640833], [0.802896, -0.349913, 0.482617], [0.009254, -0.802184, -0.597005]] and translation vector: [3.451157, 1.111087, 1.411899], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.59137, 0.494753, -0.636789], [0.806303, -0.350525, 0.476453], [0.012516, -0.795205, -0.606211]] and translation vector: [3.452706, 1.109482, 1.412867]. 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: [[-0.112591, -0.547395, 0.829266], [-0.992672, 0.098819, -0.069547], [-0.043877, -0.83102, -0.55451]] and translation vector: [1.18498, 1.814175, 1.496605], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.111637, -0.546351, 0.830083], [-0.992679, 0.100057, -0.067648], [-0.046096, -0.831558, -0.553521]] and translation vector: [1.186424, 1.810214, 1.495373], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.122401, -0.542747, 0.83093], [-0.991535, 0.103412, -0.078512], [-0.043316, -0.833506, -0.55081]] and translation vector: [1.193691, 1.805185, 1.501094]. 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: [[0.606497, 0.359513, -0.709163], [0.793947, -0.321582, 0.515978], [-0.042553, -0.875977, -0.480473]] and translation vector: [5.898605, 1.464963, 1.329018], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.603336, 0.358994, -0.712116], [0.79647, -0.316333, 0.515334], [-0.040264, -0.878098, -0.476783]] and translation vector: [5.91512, 1.4588, 1.326343], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.586247, 0.38946, -0.710377], [0.809914, -0.302115, 0.502759], [-0.018811, -0.870085, -0.492543]] and translation vector: [6.035654, 1.433116, 1.31748]. 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: [[0.590232, -0.352789, 0.726062], [-0.807221, -0.252962, 0.533296], [-0.004475, -0.900861, -0.434086]] and translation vector: [2.518124, 2.463328, 1.346668], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.586587, -0.358769, 0.726086], [-0.809845, -0.250747, 0.530356], [-0.008212, -0.899117, -0.437632]] and translation vector: [2.520116, 2.462175, 1.344964], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.595628, -0.375207, 0.710244], [-0.80316, -0.264233, 0.533961], [-0.012675, -0.888482, -0.458736]] and translation vector: [2.525984, 2.461792, 1.333971]. 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: [[-0.934582, -0.143102, 0.325696], [-0.355737, 0.383069, -0.852473], [-0.002774, -0.912568, -0.408916]] and translation vector: [2.694367, 2.483235, 1.465763], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.935747, -0.141154, 0.323191], [-0.352667, 0.379116, -0.85551], [-0.001768, -0.91452, -0.404537]] and translation vector: [2.694351, 2.483417, 1.465522], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.94215, -0.147808, 0.300842], [-0.33486, 0.375166, -0.864361], [0.014894, -0.915098, -0.402958]] and translation vector: [2.702719, 2.477868, 1.47257]. 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: [[0.684823, -0.326379, 0.651532], [-0.728707, -0.304485, 0.613413], [-0.001823, -0.894855, -0.446353]] and translation vector: [2.86358, 2.414664, 1.549631], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.684506, -0.325468, 0.652321], [-0.729004, -0.308374, 0.611113], [0.002261, -0.893855, -0.448351]] and translation vector: [2.864701, 2.413023, 1.547001], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.67888, -0.327994, 0.656918], [-0.733931, -0.329441, 0.593981], [0.021593, -0.885375, -0.464376]] and translation vector: [2.877256, 2.417151, 1.541322]. 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: [[0.882784, 0.25224, -0.396318], [0.469583, -0.498211, 0.728888], [-0.013595, -0.829554, -0.55826]] and translation vector: [3.463734, 1.394934, 1.262723], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.883097, 0.250738, -0.396574], [0.468931, -0.499833, 0.728197], [-0.015634, -0.829034, -0.558979]] and translation vector: [3.462241, 1.393432, 1.262782], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.878878, 0.250773, -0.405817], [0.476653, -0.496234, 0.725641], [-0.019409, -0.831183, -0.55566]] and translation vector: [3.458656, 1.394662, 1.254618]. 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: [[0.752445, 0.275595, -0.598225], [0.657828, -0.35994, 0.661593], [-0.032994, -0.891342, -0.452129]] and translation vector: [2.633805, 2.70906, 1.31733], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.746128, 0.269733, -0.608718], [0.664676, -0.35493, 0.657443], [-0.038718, -0.895136, -0.444108]] and translation vector: [2.667176, 2.689206, 1.310347], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.736878, 0.253582, -0.626664], [0.67323, -0.359496, 0.646161], [-0.061428, -0.89803, -0.435624]] and translation vector: [2.744361, 2.610373, 1.319779]. 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: [[-0.386761, -0.304254, 0.870543], [-0.920043, 0.191539, -0.34181], [-0.062746, -0.933136, -0.354007]] and translation vector: [2.082368, 4.008438, 1.845888], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.387201, -0.298257, 0.872421], [-0.919947, 0.188025, -0.344013], [-0.061432, -0.935783, -0.347183]] and translation vector: [2.08001, 4.010775, 1.842824], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.376594, -0.325714, 0.867229], [-0.924884, 0.185353, -0.332016], [-0.052601, -0.927122, -0.371051]] and translation vector: [2.082613, 4.009402, 1.837637]. 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: [[0.484778, 0.389748, -0.782998], [0.874059, -0.248441, 0.417491], [-0.031813, -0.886777, -0.461102]] and translation vector: [2.948564, 2.712566, 1.480667], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.484062, 0.388161, -0.784229], [0.874419, -0.248162, 0.416902], [-0.03279, -0.887551, -0.459542]] and translation vector: [2.949191, 2.711738, 1.477649], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.467232, 0.39177, -0.792597], [0.88347, -0.241629, 0.401368], [-0.034271, -0.887768, -0.459014]] and translation vector: [2.947397, 2.72527, 1.480424]. 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: [[0.493838, -0.420518, 0.76111], [-0.864926, -0.147366, 0.479777], [-0.089593, -0.895236, -0.436493]] and translation vector: [0.736944, 2.108944, 1.402726], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.487676, -0.423405, 0.763479], [-0.869284, -0.154634, 0.469504], [-0.080731, -0.892646, -0.443471]] and translation vector: [0.733117, 2.095654, 1.39687], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.480924, -0.423346, 0.767783], [-0.872629, -0.146192, 0.465989], [-0.085031, -0.894095, -0.439732]] and translation vector: [0.701425, 2.057617, 1.397946]. 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: [[-0.874867, -0.0675, 0.479638], [-0.482919, 0.197999, -0.852987], [-0.037391, -0.977875, -0.205819]] and translation vector: [2.397274, 1.722858, 1.486845], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.874077, -0.063653, 0.4816], [-0.484123, 0.196153, -0.852731], [-0.040189, -0.978505, -0.202269]] and translation vector: [2.402604, 1.721845, 1.489477], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.887879, -0.058916, 0.456289], [-0.458188, 0.203011, -0.865362], [-0.041648, -0.977402, -0.207244]] and translation vector: [2.446714, 1.689918, 1.489633]. 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: [[0.993805, -0.057016, 0.095394], [-0.110597, -0.423109, 0.899304], [-0.010913, -0.904283, -0.426794]] and translation vector: [3.282054, 2.568905, 1.512321], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.993106, -0.061381, 0.099861], [-0.116562, -0.427194, 0.896615], [-0.012375, -0.902074, -0.431404]] and translation vector: [3.283498, 2.568158, 1.509645], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.991697, -0.07473, 0.104657], [-0.127453, -0.462749, 0.877279], [-0.017129, -0.883334, -0.468431]] and translation vector: [3.294037, 2.566846, 1.501968]. 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: [[0.672393, -0.274439, 0.687438], [-0.739855, -0.221079, 0.635404], [-0.022402, -0.935846, -0.351697]] and translation vector: [3.802358, 2.110255, 1.494557], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.672432, -0.275262, 0.687071], [-0.739825, -0.222066, 0.635095], [-0.022242, -0.93537, -0.35297]] and translation vector: [3.806542, 2.108163, 1.497405], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.662943, -0.279413, 0.694575], [-0.748414, -0.223073, 0.624593], [-0.019579, -0.933899, -0.357001]] and translation vector: [3.809607, 2.112622, 1.492454]. 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: [[-0.187285, -0.627824, 0.755488], [-0.982305, 0.118515, -0.145025], [0.001514, -0.76928, -0.63891]] and translation vector: [1.001752, 1.17634, 1.437838], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.187139, -0.630563, 0.75324], [-0.982328, 0.117514, -0.14568], [0.003345, -0.767191, -0.64141]] and translation vector: [1.00191, 1.178201, 1.437088], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.182531, -0.636948, 0.748986], [-0.983189, 0.114531, -0.142208], [0.004797, -0.762352, -0.647145]] and translation vector: [1.004145, 1.176443, 1.437678]. 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: [[0.977181, 0.077241, -0.197866], [0.211774, -0.426158, 0.879512], [-0.016388, -0.901345, -0.432791]] and translation vector: [0.977323, 0.877303, 1.40232], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.979446, 0.063797, -0.19135], [0.200663, -0.404476, 0.892263], [-0.020472, -0.912321, -0.408965]] and translation vector: [0.961423, 0.875672, 1.418643], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.983838, 0.068482, -0.165447], [0.178902, -0.337078, 0.924323], [0.007531, -0.938983, -0.343882]] and translation vector: [0.935081, 0.882589, 1.453845]. 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: [[-0.205964, -0.505778, 0.837716], [-0.978495, 0.11627, -0.170378], [-0.011228, -0.854792, -0.518849]] and translation vector: [2.901534, 4.292832, 1.280844], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.204012, -0.504726, 0.838827], [-0.978841, 0.118998, -0.166463], [-0.0158, -0.855039, -0.518324]] and translation vector: [2.909629, 4.290413, 1.285823], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.169049, -0.47943, 0.861144], [-0.985403, 0.100042, -0.137744], [-0.020112, -0.871859, -0.489344]] and translation vector: [2.918062, 4.255744, 1.296137]. 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: [[-0.810147, -0.229725, 0.539341], [-0.586224, 0.314131, -0.746769], [0.002128, -0.921167, -0.389162]] and translation vector: [3.108561, 2.950706, 1.466118], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.798041, -0.241673, 0.552019], [-0.602539, 0.306626, -0.736836], [0.00881, -0.920638, -0.390318]] and translation vector: [3.094201, 2.939754, 1.46817], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.730942, -0.298846, 0.613526], [-0.681648, 0.276413, -0.677461], [0.03287, -0.913393, -0.40575]] and translation vector: [3.008661, 2.892656, 1.463078]. 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: [[0.983299, 0.047874, -0.175588], [0.180439, -0.382417, 0.9062], [-0.023764, -0.922749, -0.384668]] and translation vector: [2.208684, 3.483128, 1.468268], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.982577, 0.045136, -0.18029], [0.183889, -0.376806, 0.907856], [-0.026957, -0.925192, -0.378541]] and translation vector: [2.211137, 3.481059, 1.465482], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.983986, 0.057121, -0.168843], [0.177826, -0.379389, 0.907988], [-0.012192, -0.923472, -0.383472]] and translation vector: [2.214237, 3.490379, 1.461581]. 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: [[0.053762, 0.423971, -0.904079], [0.99709, -0.071809, 0.025618], [-0.05406, -0.902825, -0.426597]] and translation vector: [3.696534, 7.381392, 1.65485], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.059051, 0.424044, -0.903714], [0.996629, -0.076693, 0.029136], [-0.056954, -0.902388, -0.427143]] and translation vector: [3.693501, 7.384472, 1.654036], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.076295, 0.430516, -0.899353], [0.995602, -0.082082, 0.045168], [-0.054375, -0.898843, -0.434884]] and translation vector: [3.686877, 7.38459, 1.650219]. 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: [[-0.079656, -0.319192, 0.944337], [-0.994012, 0.096527, -0.051219], [-0.074805, -0.942762, -0.324969]] and translation vector: [4.3352, 2.935251, 1.464921], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.08136, -0.319768, 0.943996], [-0.993796, 0.098086, -0.052427], [-0.075828, -0.942405, -0.325765]] and translation vector: [4.335558, 2.933583, 1.460394], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.082648, -0.359045, 0.929654], [-0.993327, 0.104973, -0.047767], [-0.080438, -0.927398, -0.365325]] and translation vector: [4.342546, 2.934833, 1.439448]. 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: [[0.299058, 0.37418, -0.877812], [0.95368, -0.085842, 0.288314], [0.032528, -0.923375, -0.38252]] and translation vector: [3.908031, 4.993837, 1.41318], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.301871, 0.365699, -0.880419], [0.952911, -0.087746, 0.290279], [0.028901, -0.926588, -0.374966]] and translation vector: [3.903484, 4.991583, 1.422828], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.301255, 0.344295, -0.889217], [0.952977, -0.076566, 0.293211], [0.032867, -0.935734, -0.351171]] and translation vector: [3.913385, 4.973511, 1.425571]. 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: [[0.769532, -0.429513, 0.472588], [-0.615738, -0.302759, 0.727464], [-0.169375, -0.850797, -0.49745]] and translation vector: [2.184386, 2.253813, 1.283805], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.76638, -0.428136, 0.478917], [-0.620171, -0.298738, 0.725357], [-0.167481, -0.85291, -0.494464]] and translation vector: [2.185226, 2.257666, 1.286817], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.752434, -0.422477, 0.505328], [-0.641308, -0.294924, 0.708339], [-0.150223, -0.857049, -0.492848]] and translation vector: [2.203988, 2.240772, 1.285116]. 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: [[-0.255196, -0.436856, 0.862573], [-0.966393, 0.143834, -0.213066], [-0.030988, -0.887958, -0.45888]] and translation vector: [1.734999, 0.744851, 1.432124], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.254375, -0.435236, 0.863634], [-0.966628, 0.142475, -0.21291], [-0.03038, -0.888972, -0.456953]] and translation vector: [1.735377, 0.747301, 1.433656], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.252592, -0.430397, 0.866577], [-0.967061, 0.14143, -0.211638], [-0.031471, -0.891491, -0.451944]] and translation vector: [1.738514, 0.752667, 1.434948]. 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: [[0.721847, -0.019511, -0.691778], [0.690918, -0.036893, 0.721991], [-0.039608, -0.999129, -0.013151]] and translation vector: [1.871862, 0.815296, 1.594356], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.723033, -0.022358, -0.690452], [0.689637, -0.034974, 0.723311], [-0.04032, -0.999138, -0.009869]] and translation vector: [1.872181, 0.815734, 1.596287], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.722407, -0.014829, -0.691309], [0.690381, -0.040572, 0.722307], [-0.038759, -0.999067, -0.019072]] and translation vector: [1.866769, 0.812653, 1.587453]. 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: [[-0.15851, 0.420096, -0.893529], [0.981106, -0.034663, -0.190342], [-0.110934, -0.906817, -0.406664]] and translation vector: [4.004256, 0.910349, 2.578562], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.153085, 0.419732, -0.894645], [0.982322, -0.034068, -0.184071], [-0.107739, -0.907009, -0.407097]] and translation vector: [4.005316, 0.908549, 2.574668], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.128813, 0.432758, -0.89226], [0.986418, -0.036555, -0.160137], [-0.101917, -0.900769, -0.422171]] and translation vector: [4.005799, 0.894308, 2.560097]. 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: [[0.974605, -0.106498, 0.196986], [-0.223762, -0.428932, 0.875185], [-0.008712, -0.897037, -0.44187]] and translation vector: [2.006689, 0.552817, 1.711334], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.976991, -0.101609, 0.187523], [-0.213093, -0.42809, 0.878254], [-0.008962, -0.898006, -0.439892]] and translation vector: [2.014877, 0.551422, 1.700123], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.983342, -0.080889, 0.162776], [-0.181747, -0.450774, 0.87394], [0.002683, -0.888966, -0.457967]] and translation vector: [1.906067, 0.734394, 1.70234]. 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: [[-0.677945, 0.409221, -0.610679], [0.735109, 0.38004, -0.561413], [0.00234, -0.829523, -0.558468]] and translation vector: [3.092599, 2.044437, 1.437429], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.678782, 0.408186, -0.610442], [0.734335, 0.380383, -0.562193], [0.002723, -0.829875, -0.557943]] and translation vector: [3.0892, 2.043949, 1.440375], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.676872, 0.407734, -0.61286], [0.736083, 0.380637, -0.559729], [0.005057, -0.829981, -0.557769]] and translation vector: [3.08962, 2.045413, 1.436176]. 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: [[0.207705, 0.494542, -0.843971], [0.97739, -0.069996, 0.199524], [0.039599, -0.866331, -0.497898]] and translation vector: [4.53083, 2.291093, 1.52739], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.209269, 0.494574, -0.843566], [0.977066, -0.071037, 0.200739], [0.039356, -0.866228, -0.498097]] and translation vector: [4.529976, 2.291335, 1.526507], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.196766, 0.49564, -0.845946], [0.979799, -0.067948, 0.18809], [0.035744, -0.865866, -0.498997]] and translation vector: [4.530453, 2.296434, 1.524226]. 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: [[0.956223, -0.170898, 0.237554], [-0.292595, -0.544035, 0.786393], [-0.005155, -0.821474, -0.570223]] and translation vector: [1.275326, 2.834272, 1.3185], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.956815, -0.170774, 0.235249], [-0.290631, -0.544392, 0.786875], [-0.00631, -0.821263, -0.570514]] and translation vector: [1.276568, 2.833979, 1.318089], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.956011, -0.167954, 0.240486], [-0.293328, -0.545359, 0.785202], [-0.000727, -0.821203, -0.570635]] and translation vector: [1.277841, 2.834386, 1.31762]. 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: [[-0.928108, -0.125197, 0.35063], [-0.371823, 0.3599, -0.855699], [-0.019061, -0.924553, -0.380577]] and translation vector: [5.296664, 4.137775, 1.856988], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.930637, -0.119308, 0.34595], [-0.365378, 0.355543, -0.860284], [-0.020361, -0.927014, -0.374474]] and translation vector: [5.29653, 4.126579, 1.856014], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.952426, -0.118849, 0.280641], [-0.304767, 0.367704, -0.878584], [0.001226, -0.922317, -0.386432]] and translation vector: [5.320154, 4.099401, 1.857875]. 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: [[0.86482, -0.183466, 0.467362], [-0.501092, -0.256948, 0.826368], [-0.031523, -0.948851, -0.314147]] and translation vector: [3.012278, 2.022242, 1.442339], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.863867, -0.189194, 0.466839], [-0.502557, -0.260784, 0.824274], [-0.034203, -0.946677, -0.320364]] and translation vector: [3.015002, 2.018446, 1.436262], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.859994, -0.189108, 0.473971], [-0.509792, -0.276775, 0.81456], [-0.022856, -0.942143, -0.33443]] and translation vector: [3.018664, 2.017763, 1.427395]. 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: [[0.951558, 0.16536, -0.259218], [0.307283, -0.481983, 0.820531], [0.010744, -0.860436, -0.509446]] and translation vector: [2.919862, 3.428013, 1.521081], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.951326, 0.167996, -0.258374], [0.307875, -0.4803, 0.821295], [0.013877, -0.860866, -0.508643]] and translation vector: [2.920042, 3.428186, 1.518811], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.948369, 0.180855, -0.260555], [0.316485, -0.485614, 0.814872], [0.020845, -0.85526, -0.517779]] and translation vector: [2.906806, 3.429147, 1.512746]. 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: [[-0.802837, 0.056561, -0.593509], [0.596192, 0.071654, -0.799638], [-0.002701, -0.995825, -0.091248]] and translation vector: [2.583219, 4.008804, 1.439254], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.802466, 0.056012, -0.594063], [0.59669, 0.070227, -0.799393], [-0.003056, -0.995957, -0.089777]] and translation vector: [2.583684, 4.008714, 1.434935], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.802651, 0.061565, -0.593263], [0.596422, 0.0734, -0.799308], [-0.005664, -0.995401, -0.095633]] and translation vector: [2.580812, 4.010173, 1.435745]. 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: [[-0.355681, -0.20797, 0.911175], [-0.934036, 0.113197, -0.338769], [-0.032689, -0.971563, -0.234514]] and translation vector: [0.539195, 4.841905, 1.636959], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.354881, -0.205091, 0.912139], [-0.934375, 0.110848, -0.338608], [-0.031664, -0.972446, -0.230969]] and translation vector: [0.533365, 4.84225, 1.627512], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.357394, -0.22244, 0.907078], [-0.933778, 0.10396, -0.34242], [-0.018132, -0.969388, -0.244864]] and translation vector: [0.528036, 4.836335, 1.624936]. 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: [[-0.566304, -0.590941, 0.574533], [-0.823945, 0.423135, -0.376925], [-0.020365, -0.686838, -0.726526]] and translation vector: [2.143516, 1.760119, 1.343188], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.561614, -0.596242, 0.57366], [-0.827171, 0.420904, -0.372329], [-0.019457, -0.683619, -0.729579]] and translation vector: [2.147258, 1.761594, 1.344016], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.547252, -0.609389, 0.573725], [-0.836861, 0.409368, -0.363431], [-0.013394, -0.679017, -0.734001]] and translation vector: [2.154856, 1.762344, 1.343807]. 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: [[-0.848489, -0.131122, 0.512712], [-0.527579, 0.133483, -0.838954], [0.041567, -0.982339, -0.182436]] and translation vector: [2.702568, 1.718074, 1.602473], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.851363, -0.128939, 0.508484], [-0.523333, 0.142037, -0.840207], [0.036112, -0.981428, -0.188403]] and translation vector: [2.706553, 1.721294, 1.602035], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.862925, -0.138489, 0.485985], [-0.504369, 0.176659, -0.845224], [0.031201, -0.974481, -0.222293]] and translation vector: [2.716626, 1.723908, 1.586826]. 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: [[0.205292, 0.226186, -0.952205], [0.97316, -0.150555, 0.174048], [-0.103992, -0.962379, -0.251024]] and translation vector: [4.876985, 2.837537, 1.671042], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.210488, 0.22021, -0.952472], [0.971775, -0.153305, 0.17931], [-0.106533, -0.96333, -0.246263]] and translation vector: [4.87733, 2.840179, 1.675237], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.247756, 0.187443, -0.950517], [0.962582, -0.158806, 0.219585], [-0.109788, -0.969353, -0.219774]] and translation vector: [4.877867, 2.827038, 1.675608]. 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: [[-0.52463, -0.231347, 0.819293], [-0.850589, 0.102279, -0.515789], [0.03553, -0.96748, -0.25044]] and translation vector: [5.897326, 2.792535, 1.553822], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.52763, -0.228151, 0.818263], [-0.84888, 0.105585, -0.517933], [0.03177, -0.967884, -0.249382]] and translation vector: [5.897463, 2.790525, 1.551499], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.541576, -0.222735, 0.810608], [-0.840076, 0.107703, -0.53167], [0.031116, -0.968911, -0.245444]] and translation vector: [5.894893, 2.788883, 1.558074]. 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: [[0.988959, -0.006087, -0.148062], [0.148117, 0.009943, 0.98892], [-0.004548, -0.999932, 0.010735]] and translation vector: [3.911582, 2.672538, 1.565046], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.987297, -0.007995, -0.158684], [0.158774, 0.012251, 0.987239], [-0.005949, -0.999893, 0.013365]] and translation vector: [3.955948, 2.679338, 1.574419], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.992697, -0.03521, -0.115384], [0.116446, 0.029785, 0.99275], [-0.031518, -0.998936, 0.033668]] and translation vector: [3.907376, 2.643518, 1.623414]. 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: [[-0.999494, 0.005595, 0.031322], [-0.029883, 0.172936, -0.98448], [-0.010925, -0.984917, -0.172681]] and translation vector: [6.687301, 5.436423, 1.742894], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.999393, 0.00615, 0.034285], [-0.032681, 0.175053, -0.984017], [-0.012053, -0.98454, -0.174746]] and translation vector: [6.681215, 5.427393, 1.75699], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.999512, 0.015203, 0.027277], [-0.02448, 0.160854, -0.986675], [-0.019388, -0.986861, -0.160403]] and translation vector: [6.678608, 5.424335, 1.758175]. 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: [[0.991592, 0.052224, -0.118397], [0.1292, -0.348306, 0.928435], [0.007248, -0.935925, -0.352124]] and translation vector: [2.177373, 2.142725, 1.46728], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.992093, 0.047571, -0.11614], [0.125441, -0.346386, 0.929667], [0.003996, -0.936885, -0.349615]] and translation vector: [2.181058, 2.142908, 1.465582], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.99009, 0.041581, -0.13414], [0.14016, -0.352521, 0.925248], [-0.008815, -0.93488, -0.354856]] and translation vector: [2.196626, 2.148474, 1.466161]. 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: [[-0.132001, -0.567775, 0.812532], [-0.991224, 0.069667, -0.112349], [0.007182, -0.820231, -0.571988]] and translation vector: [2.407685, 4.450429, 1.359714], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.130918, -0.563466, 0.8157], [-0.991376, 0.069526, -0.111087], [0.005882, -0.823209, -0.567709]] and translation vector: [2.40989, 4.444678, 1.359228], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.104614, -0.562754, 0.819978], [-0.994308, 0.042438, -0.097729], [0.020199, -0.825534, -0.563991]] and translation vector: [2.433079, 4.433616, 1.362504]. 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: [[-0.877021, 0.121711, -0.464779], [0.46491, 0.459041, -0.75706], [0.12121, -0.880038, -0.459173]] and translation vector: [3.922419, 3.230202, 1.747047], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.876473, 0.11975, -0.466322], [0.465798, 0.455895, -0.758415], [0.121773, -0.881941, -0.455359]] and translation vector: [3.923546, 3.227255, 1.740959], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.862892, 0.148989, -0.482928], [0.494148, 0.449135, -0.744376], [0.105996, -0.880954, -0.461178]] and translation vector: [3.903725, 3.133858, 1.745573]. 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: [[0.515401, -0.339121, 0.786994], [-0.847541, -0.337435, 0.40965], [0.126638, -0.878143, -0.461333]] and translation vector: [4.776819, 1.138867, 1.280463], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.495978, -0.33911, 0.799381], [-0.859276, -0.324304, 0.395565], [0.125103, -0.88308, -0.452237]] and translation vector: [4.773187, 1.14016, 1.284317], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.481026, -0.30789, 0.820864], [-0.867671, -0.301264, 0.395457], [0.125539, -0.902465, -0.412064]] and translation vector: [4.757284, 1.147171, 1.295988]. 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: [[0.623567, 0.536294, -0.568817], [0.781209, -0.455034, 0.427384], [-0.029628, -0.710867, -0.702702]] and translation vector: [1.790477, 1.816361, 1.229059], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.636074, 0.528408, -0.562313], [0.771074, -0.462894, 0.437235], [-0.029252, -0.711698, -0.701876]] and translation vector: [1.794875, 1.819226, 1.230937], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.674924, 0.4822, -0.558534], [0.737532, -0.464309, 0.49037], [-0.022876, -0.7429, -0.669012]] and translation vector: [1.813084, 1.825686, 1.243736]. 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: [[0.999847, -0.004634, 0.01689], [-0.017397, -0.374134, 0.927211], [0.002023, -0.927363, -0.374157]] and translation vector: [3.310194, 3.16458, 1.506432], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.999774, -0.010896, 0.018284], [-0.021018, -0.369724, 0.928904], [-0.003361, -0.929078, -0.369869]] and translation vector: [3.316631, 3.168954, 1.519748], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.999711, -0.01062, 0.02156], [-0.023945, -0.363153, 0.931422], [-0.002062, -0.931669, -0.363302]] and translation vector: [3.313389, 3.184942, 1.522696]. 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: [[0.573165, 0.475287, -0.667521], [0.819422, -0.337921, 0.462988], [-0.005517, -0.81235, -0.583144]] and translation vector: [4.230747, 1.597944, 1.425469], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.580595, 0.472456, -0.663095], [0.814187, -0.339873, 0.470729], [-0.002969, -0.813186, -0.581996]] and translation vector: [4.228813, 1.597838, 1.42741], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.590926, 0.466068, -0.658474], [0.806725, -0.340048, 0.483283], [0.00133, -0.816791, -0.576932]] and translation vector: [4.230728, 1.601094, 1.427952]. 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: [[0.246516, -0.470365, 0.847341], [-0.959136, 0.006886, 0.282862], [-0.138884, -0.882445, -0.449446]] and translation vector: [3.043058, 2.955299, 1.551102], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.243276, -0.470143, 0.8484], [-0.960213, 0.006937, 0.279182], [-0.13714, -0.882563, -0.44975]] and translation vector: [3.042024, 2.954946, 1.550413], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.220837, -0.468715, 0.855299], [-0.967151, 0.007957, 0.254077], [-0.125896, -0.883313, -0.451561]] and translation vector: [3.035462, 2.949861, 1.549809]. 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: [[-0.998134, -0.025826, -0.055325], [0.04389, 0.326427, -0.944203], [0.042444, -0.94487, -0.324684]] and translation vector: [2.355182, 2.984659, 1.395898], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.998605, -0.022906, -0.047579], [0.037628, 0.323493, -0.945482], [0.037048, -0.945953, -0.32218]] and translation vector: [2.345251, 2.98743, 1.391141], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.998425, -0.028903, -0.048087], [0.035665, 0.334665, -0.941662], [0.04331, -0.941894, -0.333107]] and translation vector: [2.317253, 2.991597, 1.388493]. 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: [[-0.176261, -0.039155, 0.983564], [-0.983722, -0.028492, -0.177423], [0.03497, -0.998827, -0.033496]] and translation vector: [3.054739, 2.437738, 1.503838], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.18153, -0.048874, 0.98217], [-0.982778, -0.026092, -0.182941], [0.034567, -0.998464, -0.043296]] and translation vector: [3.061021, 2.450195, 1.498681], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.163045, -0.034334, 0.986021], [-0.986093, -0.02694, -0.163995], [0.032194, -0.999047, -0.029464]] and translation vector: [3.066704, 2.437577, 1.507359]. 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: [[0.853196, -0.330732, 0.403328], [-0.517406, -0.438892, 0.734619], [-0.065945, -0.835458, -0.545584]] and translation vector: [2.734716, 6.775187, 1.412962], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.853022, -0.336855, 0.398601], [-0.516617, -0.436898, 0.736361], [-0.0739, -0.834056, -0.546708]] and translation vector: [2.728871, 6.767794, 1.411126], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.851443, -0.340578, 0.398812], [-0.519517, -0.44372, 0.730216], [-0.071735, -0.828927, -0.554738]] and translation vector: [2.722152, 6.743406, 1.39829]. 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: [[0.954506, 0.05554, -0.292973], [0.288831, -0.41644, 0.862064], [-0.074127, -0.907465, -0.413536]] and translation vector: [2.66447, 1.005586, 1.476015], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.956668, 0.052296, -0.286448], [0.280824, -0.425753, 0.860158], [-0.076973, -0.903327, -0.42199]] and translation vector: [2.657996, 1.004761, 1.470821], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.966986, 0.054866, -0.248854], [0.248498, -0.419376, 0.873139], [-0.056458, -0.906153, -0.419165]] and translation vector: [2.617702, 1.004602, 1.502791]. 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: [[-0.804945, -0.278842, 0.523748], [-0.593014, 0.407765, -0.694307], [-0.019964, -0.869468, -0.493585]] and translation vector: [4.871809, 2.494869, 1.402737], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.804444, -0.274614, 0.526742], [-0.593612, 0.404842, -0.695506], [-0.022252, -0.872176, -0.488687]] and translation vector: [4.863627, 2.491699, 1.400121], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.82218, -0.26485, 0.503859], [-0.568804, 0.416386, -0.709285], [-0.021946, -0.869757, -0.492992]] and translation vector: [4.864128, 2.487759, 1.4037]. 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: [[0.330673, -0.328207, 0.884837], [-0.942686, -0.070458, 0.326157], [-0.044703, -0.941975, -0.332694]] and translation vector: [3.753276, 4.481459, 1.345242], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.306694, -0.326667, 0.893995], [-0.950878, -0.063631, 0.302957], [-0.04208, -0.942995, -0.330136]] and translation vector: [3.754864, 4.497246, 1.34429], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.246991, -0.34493, 0.905549], [-0.96808, -0.046739, 0.246244], [-0.042613, -0.937464, -0.345464]] and translation vector: [3.754345, 4.564482, 1.352383]. 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