Trinocular Stereo Vision for Robotics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
In Defense of the Eight-Point Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Determining the Epipolar Geometry and its Uncertainty: A Review
International Journal of Computer Vision
Theory and Practice of Projective Rectification
International Journal of Computer Vision
A compact algorithm for rectification of stereo pairs
Machine Vision and Applications
On Robust Rectification for Uncalibrated Images
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
Epipolar line estimation and rectification for stereo image pairs
IEEE Transactions on Image Processing
Stereo rectification of uncalibrated and heterogeneous images
Pattern Recognition Letters
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Projective geometry has been proved to be a useful tool for solving the rectification problem without camera calibration. However, if the matrices used for projective rectification (homographies) are not constrained properly, the rectification process can cause great geometric distortion. For visual application, e.g., tele-operation for remotely controlled robot arm, rectification with minimum geometry distortion should be pursued. In this paper, we propose an improved algorithm to minimize the distortion by combining a newly developed projective transform with a properly chosen shearing transform. Experimental data show that our proposed method works quite well for all the image pairs under test. Comparison with other available methods based on visual inspection and numerical data demonstrates the superiority of the new approach.