Incorporating intensity edges in the recovery of occlusion regions

A method for incorporating intensity edge information into the recovery of occlusion regions using a pixel-based stereo algorithm is presented. The authors review the construction of disparity space images and their use to solve the stereo occlusion problem. The authors show the relationship between intensity edges and the disparity space images, and extend their stereo technique to use information about intensity discontinuities at occlusion edges. The combination of ground control points and edge information yields excellent occlusion regions.

[1]  Edward H. Adelson,et al.  Layered representation for motion analysis , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[2]  M. J. Hannah.  A system for digital stereo image matching , 1989 .

[3]  Takeo Kanade,et al.  Stereo by Intra- and Inter-Scanline Search Using Dynamic Programming , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[4]  David Mumford,et al.  A Bayesian treatment of the stereo correspondence problem using half-occluded regions , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[5]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  Pascal Fua,et al.  Combining Stereo and Monocular Information to Compute Dense Depth Maps that Preserve Depth Discontinuities , 1991, IJCAI.

[7]  Gérard G. Medioni,et al.  3-D Surface Description from Binocular Stereo , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Aaron F. Bobick,et al.  Disparity-Space Images and Large Occlusion Stereo , 1994, ECCV.

[9]  Takeo Kanade,et al.  A Stereo Matching Algorithm with an Adaptive Window: Theory and Experiment , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  Alan L. Yuille,et al.  Local, global, and multilevel stereo matching , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.