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Proceedings Paper

New Bayesian approach to disparity estimation and segmentation in stereo vision
Author(s): Ping An; Zhaoyang Zhang
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Paper Abstract

This paper presents a hybrid Bayesian approach based on MRF/GRF and active contour models for disparity estimation and segmentation using stereo images. Smooth and accurate disparity field is obtained by using hierarchical MRF and GRF models. In the procedure of disparity estimation, hierarchical overlapped block matching and a fast search method are incorporated to improve the precision and computation. Then pixel-wise refinement is performed on the initial disparity field with edge information to get a smooth and consistent disparity field with sharp boundary. Finally, the active contour model is used to extract the disparity contours by jointly exploiting the information of edge and disparity. The resulting disparity field and corresponding contours are very useful in object-based stereo image coding and object segmentation. Experimental results illustrate the performance of the proposed algorithm.

Paper Details

Date Published: 25 September 2001
PDF: 6 pages
Proc. SPIE 4553, Visualization and Optimization Techniques, (25 September 2001); doi: 10.1117/12.441589
Show Author Affiliations
Ping An, Shanghai Univ. (China)
Zhaoyang Zhang, Shanghai Univ. (China)


Published in SPIE Proceedings Vol. 4553:
Visualization and Optimization Techniques

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