A: glass box
B: bottle
C: mug
D: watercraft

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: glass box
B: bottle
C: mug
D: watercraft


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: telephone
B: guitar
C: vase
D: clock


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: lamp
B: pistol
C: rifle
D: tv stand


A: bookshelf
B: sofa
C: mantel
D: television

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: bookshelf
B: sofa
C: mantel
D: television


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: lamp
B: vase
C: bookshelf
D: curtain


A: dresser
B: bookshelf
C: stool
D: night stand

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: dresser
B: bookshelf
C: stool
D: night stand


A: vase
B: clock
C: tv stand
D: telephone

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: vase
B: clock
C: tv stand
D: telephone


A: desk
B: laptop
C: keyboard
D: monitor

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: desk
B: laptop
C: keyboard
D: monitor


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: sofa
B: clock
C: telephone
D: guitar


A: range hood
B: telephone
C: clock
D: bathtub

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: range hood
B: telephone
C: clock
D: bathtub


A: loudspeaker
B: radio
C: telephone
D: tv stand

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: loudspeaker
B: radio
C: telephone
D: tv stand


A: guitar
B: microphone
C: table
D: piano

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: guitar
B: microphone
C: table
D: piano


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: telephone
B: chair
C: sofa
D: table


A: stair
B: keyboard
C: laptop
D: cellphone

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: stair
B: keyboard
C: laptop
D: cellphone


A: clock
B: telephone
C: vase
D: monitor

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: clock
B: telephone
C: vase
D: monitor


A: night stand
B: dresser
C: television
D: bookshelf

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: night stand
B: dresser
C: television
D: bookshelf


A: laptop
B: monitor
C: keyboard
D: telephone

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: laptop
B: monitor
C: keyboard
D: telephone


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: chair
B: bed
C: lamp
D: night stand


A: telephone
B: clock
C: vase
D: tv stand

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: telephone
B: clock
C: vase
D: tv stand


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: bottle
B: lamp
C: glass box
D: mug


A: clock
B: telephone
C: tv stand
D: chair

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: clock
B: telephone
C: tv stand
D: chair


A: lamp
B: piano
C: dresser
D: night stand

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: lamp
B: piano
C: dresser
D: night stand


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: table
B: sofa
C: lamp
D: chair


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: radio
B: chair
C: desk
D: bench


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: piano
B: chair
C: stool
D: guitar


A: faucet
B: telephone
C: stool
D: range hood

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: faucet
B: telephone
C: stool
D: range hood


A: vase
B: telephone
C: bookshelf
D: clock

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: vase
B: telephone
C: bookshelf
D: clock


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: sink
B: chair
C: plant
D: cabinet


A: faucet
B: telephone
C: table
D: chair

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: faucet
B: telephone
C: table
D: chair


A: telephone
B: lamp
C: bookshelf
D: sink

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: telephone
B: lamp
C: bookshelf
D: sink


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: tv stand
B: desk
C: monitor
D: chair


A: night stand
B: vase
C: clock
D: telephone

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: night stand
B: vase
C: clock
D: telephone


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: chair
B: desk
C: stool
D: bookshelf


A: rifle
B: telephone
C: car
D: airplane

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: rifle
B: telephone
C: car
D: airplane


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: bottle
B: sink
C: toilet
D: chair


A: vase
B: television
C: mirror
D: decorative bowl

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: vase
B: television
C: mirror
D: decorative bowl


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: bed
B: chair
C: sofa
D: table


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: sink
B: faucet
C: toilet
D: bathtub


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: table
B: lamp
C: vase
D: chair


A: telephone
B: bottle
C: glass box
D: faucet

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: telephone
B: bottle
C: glass box
D: faucet


A: faucet
B: telephone
C: airplane
D: clock

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: faucet
B: telephone
C: airplane
D: clock


A: faucet
B: clock
C: telephone
D: range hood

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: faucet
B: clock
C: telephone
D: range hood


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: rifle
B: laptop
C: clock
D: pistol


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: cup
B: bottle
C: glass box
D: mug


A: glass box
B: television
C: monitor
D: chair

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: glass box
B: television
C: monitor
D: chair


A: car
B: telephone
C: radio
D: airplane

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: car
B: telephone
C: radio
D: airplane


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: chair
B: flower pot
C: lamp
D: vase


A: chair
B: night stand
C: bottle
D: sofa

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: chair
B: night stand
C: bottle
D: sofa


A: chair
B: table
C: tv stand
D: telephone

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: chair
B: table
C: tv stand
D: telephone


A: glass box
B: table
C: lamp
D: telephone

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: glass box
B: table
C: lamp
D: telephone


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: table
B: vase
C: chair
D: lamp


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: lamp
B: chair
C: table
D: desk


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: vase
B: lamp
C: flower pot
D: plant


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: table
B: sofa
C: chair
D: bed


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: telephone
B: guitar
C: radio
D: lamp


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: telephone
B: bench
C: table
D: lamp


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: telephone
B: clock
C: vase
D: lamp


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: sofa
B: table
C: chair
D: telephone


A: chair
B: toilet
C: table
D: telephone

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: chair
B: toilet
C: table
D: telephone


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: lamp
B: toilet
C: vase
D: table


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: car
B: vase
C: telephone
D: clock


A: chair
B: desk
C: bookshelf
D: wardrobe

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: chair
B: desk
C: bookshelf
D: wardrobe


A: microphone
B: table
C: stool
D: guitar

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: microphone
B: table
C: stool
D: guitar


A: piano
B: rifle
C: guitar
D: telephone

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: piano
B: rifle
C: guitar
D: telephone


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: chair
B: stairs
C: laptop
D: bed


A: radio
B: glass box
C: monitor
D: lamp

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: radio
B: glass box
C: monitor
D: lamp


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: vase
B: clock
C: guitar
D: telephone


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: chair
B: piano
C: monitor
D: laptop


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: clock
B: telephone
C: guitar
D: vase


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: clock
B: telephone
C: vase
D: plant


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: table
B: lamp
C: desk
D: chair


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: sink
B: telephone
C: chair
D: toilet


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: night stand
B: chair
C: bed
D: lamp


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: table
B: sofa
C: chair
D: cabinet


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: chair
B: toilet
C: telephone
D: vase


A: bottle
B: watercraft
C: airplane
D: car

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: bottle
B: watercraft
C: airplane
D: car


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: chair
B: desk
C: table
D: sofa


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: clock
B: vase
C: stool
D: telephone


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: piano
B: telephone
C: clock
D: vase


A: bottle
B: faucet
C: glass box
D: radio

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: bottle
B: faucet
C: glass box
D: radio


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: vase
B: faucet
C: clock
D: telephone


A: radio
B: tv stand
C: lamp
D: telephone

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: radio
B: tv stand
C: lamp
D: telephone


A: night stand
B: dresser
C: bed
D: lamp

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: night stand
B: dresser
C: bed
D: lamp


A: wardrobe
B: curtain
C: bathtub
D: desk

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: wardrobe
B: curtain
C: bathtub
D: desk


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: stool
B: chair
C: desk
D: table


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: vase
B: lamp
C: telephone
D: toilet


A: guitar
B: telephone
C: radio
D: laptop

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: guitar
B: telephone
C: radio
D: laptop


A: sink
B: tv stand
C: clock
D: telephone

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: sink
B: tv stand
C: clock
D: telephone


A: flower pot
B: clock
C: vase
D: telephone

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: flower pot
B: clock
C: vase
D: telephone


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: lamp
B: vase
C: bottle
D: stool


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: sofa
B: chair
C: bed
D: telephone


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: telephone
B: chair
C: sofa
D: bed


A: dresser
B: desk
C: bathtub
D: wardrobe

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: dresser
B: desk
C: bathtub
D: wardrobe


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: stool
B: chair
C: desk
D: bench


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: telephone
B: rifle
C: lamp
D: plant


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: chair
B: bed
C: dresser
D: wardrobe


A: curtain
B: stool
C: mantel
D: bookshelf

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: curtain
B: stool
C: mantel
D: bookshelf


A: vase
B: tv stand
C: clock
D: telephone

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: vase
B: tv stand
C: clock
D: telephone


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: desk
B: bookshelf
C: table
D: chair


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: lamp
B: glass box
C: mug
D: bottle


A: chair
B: cellphone
C: watercraft
D: laptop

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: chair
B: cellphone
C: watercraft
D: laptop


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: chair
B: sofa
C: table
D: lamp


A: microphone
B: guitar
C: piano
D: stool

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: microphone
B: guitar
C: piano
D: stool


A: bookshelf
B: chair
C: telephone
D: table

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: bookshelf
B: chair
C: telephone
D: table


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: bed
B: chair
C: sofa
D: lamp


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: telephone
B: bowl
C: mug
D: lamp


A: faucet
B: bathtub
C: shower
D: toilet

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: faucet
B: bathtub
C: shower
D: toilet


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: cabinet
B: desk
C: table
D: chair


A: guitar
B: stool
C: telephone
D: clock

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: guitar
B: stool
C: telephone
D: clock


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: bed
B: stool
C: night stand
D: desk


A: airplane
B: car
C: motorcycle
D: bicycle

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: airplane
B: car
C: motorcycle
D: bicycle


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: tv stand
B: sofa
C: stool
D: chair


A: piano
B: clock
C: guitar
D: telephone

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: piano
B: clock
C: guitar
D: telephone


A: laptop
B: telephone
C: stool
D: airplane

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: laptop
B: telephone
C: stool
D: airplane


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: telephone
B: clock
C: vase
D: pistol


A: plant
B: television stand
C: lamp
D: chair

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: plant
B: television stand
C: lamp
D: chair


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: airplane
B: lamp
C: radio
D: tent


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: lamp
B: stairs
C: piano
D: telephone


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: sink
B: faucet
C: bottle
D: tv stand


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: table
B: sofa
C: desk
D: chair


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: telephone
B: vase
C: chair
D: toilet


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: telephone
B: chair
C: table
D: sofa


A: sink
B: bathtub
C: telephone
D: toilet

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: sink
B: bathtub
C: telephone
D: toilet


A: clock
B: tv stand
C: telephone
D: vase

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: clock
B: tv stand
C: telephone
D: vase


A: car
B: bookshelf
C: airplane
D: stool

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: car
B: bookshelf
C: airplane
D: stool


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: chair
B: table
C: sofa
D: stool


A: faucet
B: telephone
C: range hood
D: stool

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: faucet
B: telephone
C: range hood
D: stool


A: telephone
B: table
C: chair
D: bookshelf

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: telephone
B: table
C: chair
D: bookshelf


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: lamp
B: desk
C: bookshelf
D: chair


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: sink
B: bathtub
C: faucet
D: toilet


A: telephone
B: stool
C: chair
D: tv stand

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: telephone
B: stool
C: chair
D: tv stand


A: mantel
B: stairs
C: fireplace
D: sofa

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: mantel
B: stairs
C: fireplace
D: sofa


A: desktop
B: lamp
C: radio
D: glass box

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: desktop
B: lamp
C: radio
D: glass box


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: mantel
B: plant
C: radio
D: tv stand


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: chair
B: clock
C: vase
D: telephone


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: clock
B: car
C: vase
D: telephone


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: telephone
B: clock
C: piano
D: vase


A: television
B: glass box
C: chair
D: bookshelf

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: television
B: glass box
C: chair
D: bookshelf


A: sink
B: shower curtain
C: monitor
D: toilet

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: sink
B: shower curtain
C: monitor
D: toilet


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: lamp
B: telephone
C: stool
D: sofa


A: chair
B: keyboard
C: guitar
D: telephone

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: chair
B: keyboard
C: guitar
D: telephone


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: bookshelf
B: desk
C: chair
D: mantel


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: night stand
B: chair
C: lamp
D: bed


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: sink
B: bathtub
C: stool
D: toilet


A: lamp
B: plant
C: flower pot
D: bookshelf

Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: lamp
B: plant
C: flower pot
D: bookshelf


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: bottle
B: mug
C: keyboard
D: cup


Question: What is the category of the point cloud based on the multi-view of the point cloud?

Context:
Select from the following choices.
A: stool
B: chair
C: piano
D: guitar


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene with the corresponding camera pose, i.e., rotation matrix: [[-0.891251, 0.378307, -0.25011], [0.443048, 0.608538, -0.658323], [-0.096846, -0.697542, -0.709969]] and translation vector: [4.935522, 3.588868, 1.45033], and the second color image view of the same scene with the corresponding camera pose, i.e., rotation matrix: [[-0.887006, 0.383874, -0.256633], [0.452131, 0.60913, -0.651566], [-0.093796, -0.693975, -0.713864]] and translation vector: [4.940225, 3.582454, 1.45688], please estimate the depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene with the corresponding camera pose, i.e., rotation matrix: [[-0.997112, 0.02462, 0.071841], [-0.04661, 0.548461, -0.834876], [-0.059957, -0.835814, -0.545729]] and translation vector: [4.834615, 3.436689, 1.398379], and the second color image view of the same scene with the corresponding camera pose, i.e., rotation matrix: [[-0.998397, 0.025746, 0.050402], [-0.028149, 0.546702, -0.836854], [-0.0491, -0.836932, -0.545101]] and translation vector: [4.839047, 3.434593, 1.400064], please estimate the depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene with the corresponding camera pose, i.e., rotation matrix: [[0.485844, -0.617081, 0.619005], [-0.873216, -0.311825, 0.374512], [-0.038083, -0.722479, -0.690343]] and translation vector: [-0.164865, 3.073333, 1.323993], and the second color image view of the same scene with the corresponding camera pose, i.e., rotation matrix: [[0.482952, -0.621872, 0.616468], [-0.874972, -0.315096, 0.367612], [-0.034361, -0.716931, -0.696297]] and translation vector: [-0.16601, 3.069565, 1.320265], please estimate the depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene 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 the second color image view of the same scene 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 depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene 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 the second color image view of the same scene 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 depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene 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 the second color image view of the same scene 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 depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene 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 the second color image view of the same scene 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 depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene with the corresponding camera pose, i.e., rotation matrix: [[-0.236277, -0.452541, 0.859872], [-0.970097, 0.160455, -0.182119], [-0.055554, -0.877189, -0.47692]] and translation vector: [1.575898, 1.961144, 1.314442], and the second color image view of the same scene with the corresponding camera pose, i.e., rotation matrix: [[-0.238966, -0.451212, 0.859828], [-0.9694, 0.162109, -0.184349], [-0.056205, -0.87757, -0.476143]] and translation vector: [1.575219, 1.960128, 1.313122], please estimate the depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene with the corresponding camera pose, i.e., rotation matrix: [[0.633294, -0.360819, 0.684652], [-0.773758, -0.312806, 0.550863], [0.015401, -0.878613, -0.477285]] and translation vector: [3.241882, 3.386626, 1.367882], and the second color image view of the same scene with the corresponding camera pose, i.e., rotation matrix: [[0.618852, -0.359339, 0.698497], [-0.785116, -0.311057, 0.535572], [0.02482, -0.87984, -0.47462]] and translation vector: [3.234923, 3.400149, 1.365622], please estimate the depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene 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 the second color image view of the same scene 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 depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene 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 the second color image view of the same scene 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 depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene 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 the second color image view of the same scene 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 depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene 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 the second color image view of the same scene 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 depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene 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 the second color image view of the same scene 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 depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene with the corresponding camera pose, i.e., rotation matrix: [[0.199941, 0.263531, -0.943703], [0.979453, -0.027844, 0.19974], [0.026362, -0.964249, -0.263683]] and translation vector: [3.611549, 3.757055, 1.562045], and the second color image view of the same scene with the corresponding camera pose, i.e., rotation matrix: [[0.20075, 0.267793, -0.94233], [0.97934, -0.030969, 0.199834], [0.024331, -0.962979, -0.268477]] and translation vector: [3.608934, 3.756757, 1.557843], please estimate the depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene with the corresponding camera pose, i.e., rotation matrix: [[0.24604, -0.551346, 0.797171], [-0.968826, -0.115295, 0.219278], [-0.028988, -0.826271, -0.562526]] and translation vector: [1.704247, 2.057158, 1.361636], and the second color image view of the same scene with the corresponding camera pose, i.e., rotation matrix: [[0.236706, -0.55071, 0.800431], [-0.971342, -0.115817, 0.207564], [-0.021604, -0.826623, -0.562342]] and translation vector: [1.70792, 2.062619, 1.364929], please estimate the depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene with the corresponding camera pose, i.e., rotation matrix: [[0.695296, -0.421579, 0.582095], [-0.717067, -0.351947, 0.601622], [-0.048765, -0.835707, -0.547007]] and translation vector: [2.470866, 0.652559, 1.473924], and the second color image view of the same scene with the corresponding camera pose, i.e., rotation matrix: [[0.695871, -0.418819, 0.583399], [-0.716734, -0.353708, 0.600986], [-0.045352, -0.83635, -0.546317]] and translation vector: [2.469546, 0.651931, 1.473078], please estimate the depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene 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 the second color image view of the same scene 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 depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene with the corresponding camera pose, i.e., rotation matrix: [[-0.693623, 0.392298, -0.604144], [0.720137, 0.397492, -0.568686], [0.017048, -0.82952, -0.558217]] and translation vector: [2.706242, 2.586761, 1.453005], and the second color image view of the same scene with the corresponding camera pose, i.e., rotation matrix: [[-0.690051, 0.396658, -0.605386], [0.723517, 0.399766, -0.56277], [0.018785, -0.826347, -0.562848]] and translation vector: [2.704536, 2.590014, 1.45316], please estimate the depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene with the corresponding camera pose, i.e., rotation matrix: [[-0.530794, 0.426739, -0.732224], [0.841151, 0.159702, -0.516681], [-0.10355, -0.890162, -0.443721]] and translation vector: [5.418979, 4.373359, 1.385162], and the second color image view of the same scene with the corresponding camera pose, i.e., rotation matrix: [[-0.532043, 0.421439, -0.734384], [0.841755, 0.169492, -0.512564], [-0.091542, -0.890877, -0.444925]] and translation vector: [5.415919, 4.39552, 1.38299], please estimate the depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene 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 the second color image view of the same scene 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 depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene 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 the second color image view of the same scene 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 depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene 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 the second color image view of the same scene 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 depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene 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 the second color image view of the same scene 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 depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene with the corresponding camera pose, i.e., rotation matrix: [[0.054781, -0.427281, 0.902458], [-0.998013, -0.051617, 0.036143], [0.031139, -0.902644, -0.429259]] and translation vector: [1.328526, 0.849821, 1.501181], and the second color image view of the same scene with the corresponding camera pose, i.e., rotation matrix: [[0.086578, -0.407933, 0.908898], [-0.995883, -0.060028, 0.067922], [0.026852, -0.911036, -0.41145]] and translation vector: [1.314662, 0.836147, 1.492068], please estimate the depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene with the corresponding camera pose, i.e., rotation matrix: [[-0.941243, -0.209403, 0.264975], [-0.336113, 0.504116, -0.795548], [0.033012, -0.837865, -0.544878]] and translation vector: [4.828751, 9.008894, 1.463441], and the second color image view of the same scene with the corresponding camera pose, i.e., rotation matrix: [[-0.939528, -0.206646, 0.273103], [-0.341818, 0.516505, -0.785101], [0.021179, -0.830976, -0.555906]] and translation vector: [4.819307, 9.009376, 1.463735], please estimate the depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene with the corresponding camera pose, i.e., rotation matrix: [[0.68967, 0.288211, -0.664297], [0.724122, -0.27239, 0.633602], [0.001663, -0.918008, -0.396559]] and translation vector: [2.530043, 2.005069, 1.437417], and the second color image view of the same scene with the corresponding camera pose, i.e., rotation matrix: [[0.68921, 0.288518, -0.66464], [0.724561, -0.273014, 0.632831], [0.001127, -0.917726, -0.397212]] and translation vector: [2.5334, 2.008455, 1.44069], please estimate the depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene with the corresponding camera pose, i.e., rotation matrix: [[0.994446, -0.078697, 0.06988], [-0.104992, -0.787844, 0.606859], [0.007297, -0.610826, -0.791731]] and translation vector: [1.305105, 0.510448, 1.183315], and the second color image view of the same scene with the corresponding camera pose, i.e., rotation matrix: [[0.994112, -0.083607, 0.068931], [-0.10831, -0.785774, 0.608956], [0.003251, -0.612836, -0.790203]] and translation vector: [1.308194, 0.508844, 1.184721], please estimate the depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene with the corresponding camera pose, i.e., rotation matrix: [[-0.928375, -0.17783, 0.326339], [-0.371449, 0.415395, -0.830345], [0.012101, -0.892089, -0.451697]] and translation vector: [2.096006, 1.919092, 1.36174], and the second color image view of the same scene with the corresponding camera pose, i.e., rotation matrix: [[-0.929206, -0.177937, 0.323905], [-0.369314, 0.414969, -0.83151], [0.013546, -0.892266, -0.451307]] and translation vector: [2.095672, 1.922099, 1.363168], please estimate the depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene 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 the second color image view of the same scene 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 depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene 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 the second color image view of the same scene 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 depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene 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 the second color image view of the same scene 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 depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene with the corresponding camera pose, i.e., rotation matrix: [[-0.119369, -0.433868, 0.893034], [-0.990549, 0.113242, -0.077387], [-0.067553, -0.893832, -0.443285]] and translation vector: [3.407035, 4.679209, 1.397058], and the second color image view of the same scene with the corresponding camera pose, i.e., rotation matrix: [[-0.120544, -0.432859, 0.893366], [-0.990306, 0.115004, -0.077902], [-0.06902, -0.894096, -0.442526]] and translation vector: [3.401289, 4.681283, 1.397495], please estimate the depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene with the corresponding camera pose, i.e., rotation matrix: [[0.264492, -0.222038, 0.938479], [-0.962334, 0.002714, 0.271857], [-0.062909, -0.975034, -0.212957]] and translation vector: [0.925816, 4.784833, 1.497389], and the second color image view of the same scene with the corresponding camera pose, i.e., rotation matrix: [[0.263009, -0.220134, 0.939344], [-0.962729, 0.003779, 0.270443], [-0.063084, -0.975462, -0.210935]] and translation vector: [0.925807, 4.784041, 1.498483], please estimate the depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene with the corresponding camera pose, i.e., rotation matrix: [[-0.711391, -0.463973, 0.527875], [-0.700286, 0.531398, -0.476672], [-0.059349, -0.708763, -0.702945]] and translation vector: [2.53321, 4.394931, 1.530427], and the second color image view of the same scene with the corresponding camera pose, i.e., rotation matrix: [[-0.710702, -0.465347, 0.527594], [-0.701175, 0.5294, -0.477586], [-0.057065, -0.709357, -0.702536]] and translation vector: [2.526067, 4.393322, 1.526345], please estimate the depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene with the corresponding camera pose, i.e., rotation matrix: [[0.524333, 0.441188, -0.728305], [0.848808, -0.202677, 0.488311], [0.067827, -0.874228, -0.480754]] and translation vector: [3.10696, 1.250425, 1.344077], and the second color image view of the same scene with the corresponding camera pose, i.e., rotation matrix: [[0.531491, 0.437044, -0.72561], [0.844432, -0.205894, 0.494513], [0.066725, -0.875557, -0.478485]] and translation vector: [3.107462, 1.25329, 1.344278], please estimate the depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene 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 the second color image view of the same scene 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 depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene 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 the second color image view of the same scene 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 depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene 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 the second color image view of the same scene 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 depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene 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 the second color image view of the same scene 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 depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene with the corresponding camera pose, i.e., rotation matrix: [[-0.464707, 0.496079, -0.733453], [0.882598, 0.326106, -0.338639], [0.071191, -0.804711, -0.589382]] and translation vector: [2.864701, 0.868861, 1.204561], and the second color image view of the same scene with the corresponding camera pose, i.e., rotation matrix: [[-0.473617, 0.501904, -0.723726], [0.878064, 0.332992, -0.343688], [0.068496, -0.798254, -0.598414]] and translation vector: [2.869803, 0.866998, 1.20304], please estimate the depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene with the corresponding camera pose, i.e., rotation matrix: [[-0.943065, -0.17817, 0.280864], [-0.332105, 0.550897, -0.765649], [-0.018311, -0.815333, -0.578703]] and translation vector: [2.74599, 1.673222, 1.294065], and the second color image view of the same scene with the corresponding camera pose, i.e., rotation matrix: [[-0.942639, -0.173012, 0.285478], [-0.332909, 0.550136, -0.765848], [-0.024551, -0.816957, -0.576177]] and translation vector: [2.737266, 1.663808, 1.300966], please estimate the depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene 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 the second color image view of the same scene 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 depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene with the corresponding camera pose, i.e., rotation matrix: [[-0.454685, 0.144673, -0.878824], [0.890085, 0.109034, -0.442562], [0.031795, -0.983454, -0.178347]] and translation vector: [3.311996, 2.119304, 1.59409], and the second color image view of the same scene with the corresponding camera pose, i.e., rotation matrix: [[-0.453171, 0.138778, -0.880555], [0.890847, 0.10604, -0.441756], [0.032068, -0.98463, -0.171684]] and translation vector: [3.314367, 2.120091, 1.591769], please estimate the depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene 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 the second color image view of the same scene 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 depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene 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 the second color image view of the same scene 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 depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene 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 the second color image view of the same scene 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 depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene with the corresponding camera pose, i.e., rotation matrix: [[-0.48142, 0.335029, -0.809933], [0.872625, 0.096524, -0.478757], [-0.08222, -0.937251, -0.338823]] and translation vector: [4.429162, 2.287411, 1.464776], and the second color image view of the same scene with the corresponding camera pose, i.e., rotation matrix: [[-0.484328, 0.331289, -0.809737], [0.871134, 0.09698, -0.481374], [-0.080946, -0.938532, -0.335568]] and translation vector: [4.432656, 2.285767, 1.465956], please estimate the depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene 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 the second color image view of the same scene 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 depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene 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 the second color image view of the same scene 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 depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene with the corresponding camera pose, i.e., rotation matrix: [[0.467192, 0.317292, -0.825262], [0.883302, -0.126478, 0.451421], [0.038855, -0.939856, -0.339354]] and translation vector: [2.723032, 3.168159, 1.438168], and the second color image view of the same scene with the corresponding camera pose, i.e., rotation matrix: [[0.467636, 0.312306, -0.826911], [0.883318, -0.130557, 0.450227], [0.03265, -0.940968, -0.336919]] and translation vector: [2.722188, 3.168039, 1.441817], please estimate the depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene with the corresponding camera pose, i.e., rotation matrix: [[0.51864, -0.44867, 0.727811], [-0.853934, -0.229463, 0.467059], [-0.04255, -0.863738, -0.502143]] and translation vector: [1.002297, 1.98866, 1.344191], and the second color image view of the same scene with the corresponding camera pose, i.e., rotation matrix: [[0.519607, -0.444592, 0.729621], [-0.853432, -0.229314, 0.468049], [-0.040778, -0.865883, -0.498582]] and translation vector: [1.000441, 1.985865, 1.344846], please estimate the depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene with the corresponding camera pose, i.e., rotation matrix: [[0.688084, 0.423256, -0.589401], [0.725514, -0.415863, 0.54835], [-0.013017, -0.80493, -0.593227]] and translation vector: [3.968163, 0.8771, 1.421607], and the second color image view of the same scene with the corresponding camera pose, i.e., rotation matrix: [[0.688048, 0.420794, -0.591205], [0.725576, -0.411726, 0.551381], [-0.011397, -0.80834, -0.588605]] and translation vector: [3.964529, 0.870938, 1.417962], please estimate the depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene 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 the second color image view of the same scene 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 depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene with the corresponding camera pose, i.e., rotation matrix: [[-0.925351, 0.122106, -0.358909], [0.376741, 0.190476, -0.906524], [-0.042329, -0.974068, -0.222259]] and translation vector: [4.735593, 2.732706, 1.21643], and the second color image view of the same scene with the corresponding camera pose, i.e., rotation matrix: [[-0.924788, 0.125024, -0.359357], [0.377675, 0.187086, -0.906841], [-0.046146, -0.974355, -0.220234]] and translation vector: [4.740286, 2.733964, 1.218072], please estimate the depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene with the corresponding camera pose, i.e., rotation matrix: [[-0.908726, 0.150598, -0.389277], [0.406624, 0.108936, -0.907078], [-0.094198, -0.982575, -0.16023]] and translation vector: [8.822721, 3.830595, 1.476402], and the second color image view of the same scene with the corresponding camera pose, i.e., rotation matrix: [[-0.908663, 0.151907, -0.388916], [0.40641, 0.108245, -0.907256], [-0.09572, -0.98245, -0.160095]] and translation vector: [8.818814, 3.832555, 1.475788], please estimate the depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene with the corresponding camera pose, i.e., rotation matrix: [[0.984594, -0.069457, 0.160469], [-0.174127, -0.305795, 0.936039], [-0.015944, -0.949561, -0.313178]] and translation vector: [3.941113, 2.817773, 1.559826], and the second color image view of the same scene with the corresponding camera pose, i.e., rotation matrix: [[0.984592, -0.069572, 0.160429], [-0.174152, -0.307406, 0.935507], [-0.015768, -0.949032, -0.314785]] and translation vector: [3.94407, 2.817183, 1.553188], please estimate the depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene 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 the second color image view of the same scene 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 depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene 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 the second color image view of the same scene 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 depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene with the corresponding camera pose, i.e., rotation matrix: [[-0.305635, -0.390507, 0.868385], [-0.952144, 0.122302, -0.280116], [0.003183, -0.91244, -0.409198]] and translation vector: [4.266061, 1.773856, 1.285079], and the second color image view of the same scene with the corresponding camera pose, i.e., rotation matrix: [[-0.300987, -0.399102, 0.866097], [-0.953628, 0.125052, -0.273781], [0.00096, -0.908339, -0.418234]] and translation vector: [4.263163, 1.772832, 1.291083], please estimate the depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene 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 the second color image view of the same scene 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 depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene with the corresponding camera pose, i.e., rotation matrix: [[-0.207785, -0.462455, 0.861952], [-0.977184, 0.13779, -0.161637], [-0.044019, -0.875871, -0.480534]] and translation vector: [2.720584, 1.654419, 1.522448], and the second color image view of the same scene with the corresponding camera pose, i.e., rotation matrix: [[-0.211008, -0.462778, 0.860995], [-0.976592, 0.137438, -0.165466], [-0.04176, -0.875755, -0.480946]] and translation vector: [2.717844, 1.649691, 1.521912], please estimate the depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image


A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image

Question: Given the first color image view of the scene with the corresponding camera pose, i.e., rotation matrix: [[0.624751, -0.31057, 0.716403], [-0.780527, -0.273701, 0.562018], [0.021534, -0.910293, -0.413403]] and translation vector: [-0.212106, 0.775797, 1.619325], and the second color image view of the same scene with the corresponding camera pose, i.e., rotation matrix: [[0.624146, -0.312612, 0.716042], [-0.781019, -0.274551, 0.56092], [0.02124, -0.909338, -0.415515]] and translation vector: [-0.212874, 0.777223, 1.616059], please estimate the depth map for the first view of the RGB image. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.

Context:
Your task is to estimate the depth map for a color image based on two color images captured from two viewpoints, along with the corresponding camera poses.The input images are the first 2 images
Select from the following choices.
A: The 3th image
B: The 4th image
C: The 5th image
D: The 6th image