A Multiple Baseline Stereo

M. Okutomi and Takeo Kanade
Proceedings of the 1991 IEEE Conference on Computer Vision and Pattern Recognition (CVPR '91), July, 1991, pp. 63 - 69.


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Abstract
A stereo matching method is presented which uses multiple stereo pairs with various baselines to obtain precise depth estimates without suffering from ambiguity. The stereo matching method uses multiple stereo pairs with different baselines generated by a lateral displacement of a camera. Matching is performed by computing the sum of squared-difference (SSD) values. The SSD functions for individual stereo pairs are represented with respect to the inverse depth (rather than the disparity, as is usually done), and then are simply added to produce the sum of SSDs. This resulting function is called the SSSD-in-inverse-depth. The authors define a stereo algorithm, based on the SSSD-in-inverse-depth and then present a mathematical analysis to show how the algorithm can remove ambiguity and increase precision. Experimental results for stereo images are presented to demonstrate the effectiveness of the algorithm.

Notes
Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Text Reference
M. Okutomi and Takeo Kanade, "A Multiple Baseline Stereo," Proceedings of the 1991 IEEE Conference on Computer Vision and Pattern Recognition (CVPR '91), July, 1991, pp. 63 - 69.

BibTeX Reference
@inproceedings{Kanade_1991_2444,
   author = "M. Okutomi and Takeo Kanade",
   title = "A Multiple Baseline Stereo",
   booktitle = "Proceedings of the 1991 IEEE Conference on Computer Vision and Pattern Recognition (CVPR '91)",
   pages = "63 - 69",
   month = "July",
   year = "1991",
}