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Proceedings Paper

Stereo matching based on orthogonal Gaussian-Hermite moments
Author(s): Wei Shen; Yue Xiao; Mohamed Daoudi
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Paper Abstract

Stereo correspondence methods rely on matching costs for computing the similarity of image locations. In this paper, a stereo matching cost based on orthogonal Gaussian-Hermite moments (OGHMs) space is proposed and evaluated together with different matching costs with respect to radiometric variations of the input images. Their performance is measured in the presence of global intensity changes, local intensity changes, and image noise. Using existing stereo datasets with ground-truth disparities taken under controlled changes of exposure and lighting, the experiment shows the novel matching cost method guarantee a more insensitive result against different kinds of radiometric differences.

Paper Details

Date Published: 30 October 2009
PDF: 6 pages
Proc. SPIE 7496, MIPPR 2009: Pattern Recognition and Computer Vision, 74961Q (30 October 2009); doi: 10.1117/12.833952
Show Author Affiliations
Wei Shen, Sun Yat-sen Univ. (China)
Yue Xiao, Sun Yat-sen Univ. (China)
Mohamed Daoudi, Institut Telecom, LIFL, CNRS (France)


Published in SPIE Proceedings Vol. 7496:
MIPPR 2009: Pattern Recognition and Computer Vision
Mingyue Ding; Bir Bhanu; Friedrich M. Wahl; Jonathan Roberts, Editor(s)

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