Fort Collins, Colorado
June 23, 1999 to June 25, 1999
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.
Rectification, Stereo Vision
Charles Loop, Zhengyou Zhang, "Computing Rectifying Homographies for Stereo Vision", CVPR, 1999, 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013 IEEE Conference on Computer Vision and Pattern Recognition 1999, pp. 1125, doi:10.1109/CVPR.1999.786928