Image rectification is the process of applying a pair of 2 dimensional projective transforms, or homographies, to a pair of images whose epipolar geometry is known so that epipolar lines in the original images map to horizontally aligned lines in the transformed images. We propose a novel technique for image rectification based on geometrically well defined criteria such that image distortion due to rectification is minimized. This is achieved by decomposing each homography into a specialized projective transform, a similarity transform, followed by a shearing transform. The effect of image distortion at each stage is carefully considered.
CITATION STYLE
Loop, C., & Zhang, Z. (1999). Computing rectifying homographies for stereo vision. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1, 125–131. https://doi.org/10.1109/cvpr.1999.786928
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