Symmetric Pixel-Group Based Stereo Matching for Occlusion Handling

Author

Zhou, Xiuzhi ; Wang, Runsheng

Author_Institution

ATR Lab., Nat. Univ. of Defense Technol., Changsha

Volume

1

fYear

0

fDate

0-0 0

Firstpage

47

Lastpage

50

Abstract

In this paper, we propose a symmetric pixel-group stereo model for handling occlusion in a segment-based style. Firstly, both images are segmented based on color, disparity, and the segments of the other image sequencely. Then the uniqueness constraint is embodied in pixel-group level. Finally, a symmetric belief propagation (BP) optimization framework is used to find correspondence and occlusions simultaneously. Results obtained for benchmark indicate that the proposed method is able to compete with the state-of-the-art-algorithms

Keywords

belief maintenance; computer vision; image colour analysis; image matching; image segmentation; image sequences; stereo image processing; image color; image disparity; image segmentation; image sequence; occlusion handling; stereo matching; symmetric belief propagation optimization; symmetric pixel group; Application software; Belief propagation; Computer vision; Image segmentation; Iterative algorithms; Layout; Minimization methods; Optimization methods; Pixel; Stereo vision;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2006. ICPR 2006. 18th International Conference on

Conference_Location

Hong Kong

ISSN

1051-4651

Print_ISBN

0-7695-2521-0

Type

conf

DOI

10.1109/ICPR.2006.1100

Filename

1698830