Projective Rectification with Reduced Geometric Distortion for Stereo Vision and Stereoscopic Video
Journal of Intelligent and Robotic Systems
Stereo Localization Based on Network's Uncalibrated Camera Pairs
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Stereo rectification of uncalibrated and heterogeneous images
Pattern Recognition Letters
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We present a robust algorithm performing uncalibrated rectification which does not require explicit computation of the epipolar geometry, and specifically of the fundamental matrix. Our algorithm exploits the fact that the fundamental matrix of a pair of rectified images has a particular, known form. This allows us to set up a minimization that yields the rectifying homographies directly from image correspondences. Experimental results show that our method works even in the presence of noise, and can cope with inaccurate point correspondences. Robustness in the presence of wrong point correspondences is also addressed in this paper, and a two steps outlier detector is described.