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7 May 2003 Disparity space image-based stereo matching using optimal path searching
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Proceedings Volume 5022, Image and Video Communications and Processing 2003; (2003)
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States
The current paper proposes a fast stereo matching algorithm based on a pixel-wise matching strategy that can produce a stable and accurate disparity map. Since the differences between a pair of stereo images are only small and such differences are just caused by horizontal shifts in a certain order, matching using a large window is not required within a given search range. Therefore, the current study adopts a disparity space image(DSI) for efficient pixel-wise matching. In a DSI, each disparity value is derived from the matching path. As such, when the matching path in a DSI innately satisfies the ordering constraint, continuous matching is possible. In addition, since this continuous matching also considers neighbor pixels, it assumes the characteristics of region-based matching, similar to window-based matching, yet with a lower computational load. To avoid the unstable characteristic of the pixel-based matching, we modified the directions in the cost array in the dynamic programming(DP). Experimental results demonstrate that the proposed method can remove almost all disparity noise and produce a good quality disparity map within a very short time.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chul-Hwan Kim, Ho-Keun Lee, and Yeong-Ho Ha "Disparity space image-based stereo matching using optimal path searching", Proc. SPIE 5022, Image and Video Communications and Processing 2003, (7 May 2003);


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