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Optical Engineering

Real-time disparity estimation using foreground segmentation for stereo sequences
Author(s): HanSung Kim; Dongbo Min; Shinwoo Choi; Kwanghoon Sohn
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Paper Abstract

We propose a fast disparity estimation algorithm using background registration and object segmentation for stereo sequences from fixed cameras. Dense background disparity information is calculated in an initialization step, so that only disparities of moving object regions are updated in the main process. We propose a real-time segmentation technique using background subtraction and interframe differences, and a hierarchical disparity estimation using a region-dividing technique and shape-adaptive matching windows. Experimental results show that the proposed algorithm provides accurate disparity vector fields with an average processing speed of 15 frames/s for 320×240 stereo sequences on an ordinary PC.

Paper Details

Date Published: 1 March 2006
PDF: 10 pages
Opt. Eng. 45(3) 037402 doi: 10.1117/1.2183667
Published in: Optical Engineering Volume 45, Issue 3
Show Author Affiliations
HanSung Kim, Yonsei Univ. (South Korea)
Dongbo Min, Yonsei Univ. (South Korea)
Shinwoo Choi, Yonsei Univ. (South Korea)
Kwanghoon Sohn, Yonsei Univ. (South Korea)

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