2007 IEEE International Conference on Image Processing - San Antonio, Texas, U.S.A. - September 16-19, 2007

Technical Program

Paper Detail

Paper:MA-P1.12
Session:Stereoscopic and 3D Processing I: Coding and Processing
Time:Monday, September 17, 09:50 - 12:30
Presentation: Poster
Title: STEREO MATCHING USING REDUCED-GRAPH CUTS
Authors: Ayman Zureiki; LAAS-CNRS 
 Michel Devy; LAAS-CNRS 
 Raja Chatila; LAAS-CNRS 
Abstract: Some recent stereo matching algorithms are based on graph cuts. They transform the matching problem to a minimisation of a global energy function. The minimisation can be done by finding out an optimal cut in a special graph. Different methods were proposed to construct the graph. But all of them, consider for each pixel, all possible disparities between minimum and maximum values. In this article, a new method is proposed: only some potential values in the disparity range are selected for each pixel. These values can be found using a local analysis of stereo matching. This method allows us to make wider the disparity range, and at the same time to limit the volume of the graph, and therefore to reduce the computation time.



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