Comments (1)
Hi @yuan0821
Your issue was opened quite some time ago and I hope you found a solution by now.
1.) This should work perfectly fine as you only need to capture the board simultaneously by camera pairs and not with all cameras at once. Just make sure that all cameras are in that connection-loop.
If there is a camera, where the FOVs does not overlap with any other camera, the algorithm will most probably fail. Finally, the resulting graph will be trimmed to a spanning tree.
2.) Check out the calibration board description in the OpenCV docs:
https://docs.opencv.org/3.4/df/d4a/tutorial_charuco_detection.html
3.) I don't really know matlab that well. Is this what you are looking for (rotation vector to rotation matrix)?:
https://ch.mathworks.com/help/vision/ref/rotvec2mat3d.html
I hope that helps.
from anipose.
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from anipose.