A Bayesian approach to binocular steropsis

Author:

Belhumeur Peter N.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Reference46 articles.

1. Anderson, B. 1992. Personal communication. Technical Report. Harvard University.

2. Baker, H. and Binford, T. 1981. Depth from edge and intensity based stereo. In IJCAI, pp. 631?636.

3. Belhumeur, P. 1993. A Bayesian Approach to the Stereo Correspondence Problem. Ph.D. thesis, Harvard University.

4. Belhumeur, P. and Mumford, D. 1992. A Bayesian treatment of the stereo correspondence problem using half-occluded regions. In IEEE Proc. Conf. Computer Vision and Pattern Recognition, pp. 506?512.

5. Besag, J. 1974. Spatial interaction and statistical analysis of lattice systems. J. Roy. Stat. Soc. Lond. B., 36:192?225.

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