18. (5 points) As shown in figure 5, a point Q is observed in a known (i.e. intrinsic parameters are calibrated) affine camera with image plane II1. Then you translate the camera parallel to the image plane with a known translation to a new image plane II2 and observe it again. (a) (2 points) Draw the image points Q and Q, on II, and II2 on the left figure of Fig. 5. Is it possible to find the depth of the 3D point Q in this scenario? Briefly explain why. Q. O2 O2 II2 II2 II II Figure 5: 3D point reconstruction

Computer Networking: A Top-Down Approach (7th Edition)
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ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
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18. (5 points) As shown in figure 5, a point Q is observed in a known (i.e. intrinsic parameters
are calibrated) affine camera with image plane II1. Then you translate the camera parallel
to the image plane with a known translation to a new image plane II2 and observe it again.
(a) (2 points) Draw the image points Q and Q, on II1 and II2 on the left figure of Fig. 5.
Is it possible to find the depth of the 3D point Q in this scenario? Briefly explain why.
Q.
O2
O2
II
II2
II
II2
Figure 5: 3D point reconstruction
Transcribed Image Text:18. (5 points) As shown in figure 5, a point Q is observed in a known (i.e. intrinsic parameters are calibrated) affine camera with image plane II1. Then you translate the camera parallel to the image plane with a known translation to a new image plane II2 and observe it again. (a) (2 points) Draw the image points Q and Q, on II1 and II2 on the left figure of Fig. 5. Is it possible to find the depth of the 3D point Q in this scenario? Briefly explain why. Q. O2 O2 II II2 II II2 Figure 5: 3D point reconstruction
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