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Proceedings Paper

Hue feature-based stereo scheme for detecting half-occlusion and order reversal of objects
Author(s): Tsan Po Siu; Tardi Tjahjadi; Irene Yu-Hua Gu
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Paper Abstract

One of the most challenging tasks in stereopsis is to find corresponding points in a stereo image pair to obtain depth information. Half occlusion and order-reversal of objects further complicate the problem. In this paper, we propose the use of hue and intensity of images for stereo correspondences. Stereo correspondence is performed row by row. Planar first-order least squares curve-fitting is exploited to extract line-segments with similar hue. A sloping intensity profile of line-segment is used to indicate the presence of a sloping surface with the same hue. A Left-Left Right-Right (LL-RR) constraint is introduced for matching line-segment pair: the possible occluded part should be located both at the leftmost part of the left-line-segment and at the rightmost part of the right-line-segment. This constraint is used to detect half-occlusion in line-segment pair matching. Finally, an object is formed from a block of contiguous line-segments separated from other blocks by gaps. Experiments were performed on stereo image pairs and the estimated disparity maps are used to evaluate the performance of the proposed algorithm.

Paper Details

Date Published: 23 June 2003
PDF: 12 pages
Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.502708
Show Author Affiliations
Tsan Po Siu, Univ. of Warwick (United Kingdom)
Tardi Tjahjadi, Univ. of Warwick (United Kingdom)
Irene Yu-Hua Gu, Chalmers Univ. of Technology (Sweden)


Published in SPIE Proceedings Vol. 5150:
Visual Communications and Image Processing 2003
Touradj Ebrahimi; Thomas Sikora, Editor(s)

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