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Stereo Disparity Estimation by Analyzing the Type of Matched Regions  

Kim Sung-Hun (인지소프트 인식공학연구소)
Lee Joong-Jae (숭실대학교 정보미디어기술연구소)
Kim Gye-Young (숭실대학교 컴퓨터학과)
Choi Hyung-Il (숭실대학교 미디어학과)
Publication Information
Journal of KIISE:Software and Applications / v.33, no.1, 2006 , pp. 69-83 More about this Journal
Abstract
This paper describes an image disparity estimation method using a segmented-region based stereo matching. Segmented-region based disparity estimation yields a disparity map as the unit of segmented region. However, there is a problem that it estimates disparity imprecisely. The reason is that because it not only have matching errors but also apply an identical way to disparity estimation, which is not considered each type of matched regions. To solve this problem, we proposes a disparity estimation method which is considered the type of matched regions. That is, the proposed method classifies whole matched regions into similar-matched region, dissimilar-matched region, false-matched region and miss-matched region by analyzing the type of matched regions. We then performs proper disparity estimation for each type of matched regions. This method minimizes the error in estimating disparity which is caused by inaccurate matching and also improves the accuracy of disparity of the well-matched regions. For the purpose of performance evaluations, we perform tests on a variety of scenes for synthetic, indoor and outdoor images. As a result of tests, we can obtain a dense disparity map which has the improved accuracy. The remarkable result is that the accuracy of disparity is also improved considerably for complex outdoor images which are barely treatable in the previous methods.
Keywords
Segmented-region based stereo matching; Analysis of type of matched regions; Disparity estimation; Disparity map;
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