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Proceedings Paper

Multipass stereo matching algorithm using high-curvature points on image profiles
Author(s): Yuan-Chih Peng; Sheng-Jyh Wang
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Paper Abstract

In this paper, we propose a new algorithm to do correspondence for stereo images. This algorithm applies two passes of feature-based matching to establish a coarse disparity map first. Then, by carefully matching the intensity information, a dense disparity map is generated. In this algorithm, instead of the commonly used 'edge' points, the high-curvature points of image profiles are chosen as the feature points to be matched. These high- curvature points can be easily extracted from the images by checking the 2nd derivatives of the intensity profiles. These high-curvature features can faithfully catch the major characteristics of the profile shape and can thus avoid some ambiguities in feature matching. A dissimilarity measure, which is closely related to the profile shape, is thus defined using these feature points. To reduce the ambiguity in local matching, the dynamic programing technique is used to achieve a global optimal correspondence. After the feature matchings, an intensity-based approach is used to establish a dense disparity map. Both the sum-of-squared- difference method and the dynamic programming method are used. By carefully checking the consistence between intensity continuity and disparity continuity, a fairly accurate disparity map can be efficiently generated even if the images are short of texture.

Paper Details

Date Published: 24 May 1999
PDF: 12 pages
Proc. SPIE 3639, Stereoscopic Displays and Virtual Reality Systems VI, (24 May 1999); doi: 10.1117/12.349383
Show Author Affiliations
Yuan-Chih Peng, National Chiao Tung Univ. (Taiwan)
Sheng-Jyh Wang, National Chiao Tung Univ. (Taiwan)


Published in SPIE Proceedings Vol. 3639:
Stereoscopic Displays and Virtual Reality Systems VI
Mark T. Bolas; John O. Merritt; Scott S. Fisher; Mark T. Bolas; Scott S. Fisher, Editor(s)

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