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Tag selected: rectification.
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Saved by uncleflo on September 15th, 2012.
Stereo vision is a useful tool to allow for users to detail greater image detail, based on epipolar geometry of two parrallel views. Since the cameras are separated, and subject to their own distortion, these images need to be Stereo Rectified in before any further processing can be done. This is important for 3D vision, and depth perception. OpenCV [conventionlly] uses a Chessboard pattern to calibrate a camera. Presenting a pattern which is regular to the camera will allow decisions regarding any radial distortions to be made. See previous tutorial for single camera calibration.
opencv python example stereo vision rectification tutorial guide information chess calibration image 3D
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