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1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'99) - Volume 1
Computing Rectifying Homographies for Stereo Vision
Fort Collins, Colorado
June 23-June 25
ISBN: 0-7695-0149-4
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.
Index Terms:
Rectification, Stereo Vision
Citation:
Charles Loop, Zhengyou Zhang, "Computing Rectifying Homographies for Stereo Vision," cvpr, vol. 1, pp.1125, 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'99) - Volume 1, 1999
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