stereo camera calibration error
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Hi all,
I am implementing a simple program to calibrate two cameras and compute a disparity map. I was given a set of 425 pictures of a chessboard, taken using the two cameras. Using the "Camera Calibration" tool I calibrated each camera individually, and I selected the images with reprojection errors lower than 0.7 (I kept about 70 pictures for each camera). Then, I calibrated the stereo pair using the same set of images.
The issue is that when I load the fixed intrinsics in the "Stereo Camera Calibration" tool, I get the following error message:
The value of 'principalPoint' is invalid. Expected principalPoint to be positive.
I am new to computer vision and I am pretty sure that I am doing something wrong.
I tried to compute the disparity maps without single-camera calibration. I got very poor results, and I think that it is due to bad camera calibration.
Thank you in advance for your help.
Have a nice day!
回答（2 个）
Vinai Datta Thatiparthi
2020-12-22
0 个投票
Hi,
I noticed a similar discussion on the forum that could be relevant to solving the error that you're reporting:
LINK to MATLAB Answer: https://www.mathworks.com/matlabcentral/answers/370485-camera-calibration-failed
Hope this helps!
Kevin Mallery
2022-3-7
0 个投票
I'm getting the same error. So far, all I've been able to figure out as a "solution" is to just disable the positivity check in the checkPrincipalPoint function in cameraIntrinsics.m. As far as I can tell, I don't see any reason why the principal point should be constrained to be positive.
Could someone at Mathworks comment on this? I would prefer a solution that is less hacky.
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2022-3-7
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