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Optical Engineering • Open Access

Stereo matching algorithm based on illumination normal similarity and adaptive support weight
Author(s): Kai Gao; He-xin Chen; Yan Zhao; Ying-nan Geng; Gang Wang

Paper Abstract

For the purpose of representing the feature of the gray image, illumination normal of pixels in a two-dimensional gray image plane is proposed, which can reflect the high-frequency information of the gray image. In order to get an accurate dense disparity map based on the adaptive support weight (ASW) approach in RGB vector space, a matching algorithm is proposed that combines the illumination normal similarity, gradient similarity, color similarity, and Euclidean distance similarity to compute the corresponding support weights and dissimilarity measurements. After testing by the Middlebury stereo benchmark, the result of the proposed algorithm shows more accurate disparity than many state-of-the-art stereo matching algorithms.

Paper Details

Date Published: 1 February 2013
PDF: 8 pages
Opt. Eng. 52(2) 027201 doi: 10.1117/1.OE.52.2.027201
Published in: Optical Engineering Volume 52, Issue 2
Show Author Affiliations
Kai Gao, Jilin Univ. (China)
He-xin Chen, Jilin Univ. (China)
Yan Zhao, Jilin Univ. (China)
Ying-nan Geng, Jilin Univ. (China)
Gang Wang, Jilin Univ. (China)


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