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Actually, I expect getting a output image cropped by valid pixels and it's inscribed rectangular of that undistorted region. Can I use getOptimalNewCameraMatrix() to get it?

Hi everyone,

I've used initUndistortRectifyMap() and Remap() to undistort image, but I have no idea how to crop the ROI I want. I want it keep the region of original horizontal and vertical FoV, I've try getOptimalNewCameraMatrix() with different alpha 0~1, just can not get it.

Any idea? Thanks!

Thanks for your reply. So if I didn't get wrong, 4 cameras are static then moving that random pattern round them. After calibration, I suppose to got 4 intrinsic and 4 extrinsic matrix (one of the camera will be the world) coordinate) which is my expected result. I mean I don't know why I take another experiment data set that cameras are in the same place, the results show translation term of extrinsic are very different.

Hi guys I need some help,

I did a stitching code for 4 GoPro camera input, but I need more accurate camera calibration result especially the camera pose. So I found there is a Multi-camera Calibration class in contrib modules, and trying to use it. However, I did it 3 times for same camera rig to capture different test data (about 200 images each), then totally got different result, extrinsic matrix is way different each test.

What I'm actually trying to do is the following:

• To generate a random pattern (resolution 1280x960), print it out in A3 size
• Capture test images about 200 (resolution 1920x1080)
• Run Multi-camera Calibration (I use pinhole model)
• Reprojection error comes out about 1~4

There's my reference: http://docs.opencv.org/master/d2/d1c/...

Does anyone have an idea of how to achieve accurate multiple camera calibrations or any trick to use this modules? Each camera has 2 small overlap region on left and right side. Thank you!

Hi, I used MultiCameraCalibration class to calibrate multi camera recently, I have the same question too. I think that translation coefficients might have no units, they just in the same scale for every cameras? I have another problems that intrinsic matrix and distortion coefficients are almost close for every test(if I didn't change camera rig), but translation coefficients are very different? Is there any trick to use this class? thank you.