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Proceedings Paper

Constraints in the wavelet transform domain for stereo vision correspondence matching
Author(s): Sheng Zhong; Harold H. Szu; Francis Chin; Qing-Yun Shi
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Paper Abstract

Wavelets have been widely utilized for image analysis and image/video coding. In this paper, we describe how wavelet transform (WT) can facilitate the important computer vision technique -- stereo vision -- by establishing valid constraints in the WT domain and combining some psychophysical knowledge of the human visual system. Because of the displacement presented in the stereo images, continuous WT is suited for stereo image processing and analysis. Four constraints are established and called the smooth component gradient constraints (SCGC) and smooth component Laplacian constraints (SCLC), respectively. To derive them, geometric conditions and psychophysical knowledge for human binocular visual information fusion are combined. These constraints greatly improve the efficiency of stereo matching: matching accuracy and speed is greatly improved, and matching robustness in noisy environment is significantly improved too, compared with traditional algorithms without those constraints. Experiments show encouraging results. The paper discuses the possibility of establishing some further constraints in the WT domain too.

Paper Details

Date Published: 22 March 1996
PDF: 12 pages
Proc. SPIE 2762, Wavelet Applications III, (22 March 1996); doi: 10.1117/12.236029
Show Author Affiliations
Sheng Zhong, Univ. of Hong Kong (Hong Kong)
Harold H. Szu, Naval Surface Warfare Ctr. (United States)
Francis Chin, Univ. of Hong Kong (Hong Kong)
Qing-Yun Shi, Peking Univ. (China)

Published in SPIE Proceedings Vol. 2762:
Wavelet Applications III
Harold H. Szu, Editor(s)

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