Theory and Practice of Projective Rectification
International Journal of Computer Vision
A compact algorithm for rectification of stereo pairs
Machine Vision and Applications
Estimating the fundamental matrix by transforming image points in projective space
Computer Vision and Image Understanding
A new image rectification algorithm
Pattern Recognition Letters
Cylindrical rectification to minimize epipolar distortion
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Real Time Rectification for Stereo Correspondence
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 02
Projective rectification from the fundamental matrix
Image and Vision Computing
Stereo rectification of uncalibrated and heterogeneous images
Pattern Recognition Letters
Quasi-Euclidean epipolar rectification of uncalibrated images
Machine Vision and Applications
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Stereo image rectification transforms a pair of images into a new pair such that the epipolar lines in the transformed images have the same direction as the image rows and matching epipolar lines in different images have the same row index to enable an efficient and reliable dense stereo matching. In this paper we propose a first closed-form algorithm to automatically rectify stereo images just using the fundamental matrix. The algorithm involves only direct and purely geometric transformation processes. There is no iterative or optimization processes for the rectification parameter estimation in our method. Real images have been used for testing purposes, and convincing results have been obtained from our algorithm. Comparison with the state-of-the-art method shows that our method produces better rectification results.