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Stereo matching via selective multiple windows

[+] Author Affiliations
Satyajit Anil Adhyapak

University of Texas at Dallas, Department of Electrical Engineering, Richardson, Texas 75080

Nasser Kehtarnavaz

University of Texas at Dallas, Department of Electrical Engineering, Richardson, Texas 75080

Mihai Nadin

University of Texas at Dallas, Department of Electrical Engineering, Richardson, Texas 75080

J. Electron. Imaging. 16(1), 013012 (March 01, 2007). doi:10.1117/1.2711817
History: Received September 23, 2005; Revised August 29, 2006; Accepted October 06, 2006; Published March 01, 2007
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Window-based correlation algorithms are widely used for stereo matching due to their computational efficiency as compared to global algorithms. In this paper, a multiple window correlation algorithm for stereo matching is presented which addresses the problems associated with a fixed window size. The developed algorithm differs from the previous multiple window algorithms by introducing a reliability test to select the most reliable window among multiple windows of increasing sizes. This ensures that at least one window is large enough to cover a region of adequate intensity variations while at the same time small enough to cover a constant depth region. A recursive computation procedure is also used to allow a computationally efficient implementation of the algorithm. The outcome obtained from a standard set of images with known disparity maps shows that the generated disparity maps are more accurate as compared to two popular stereo matching local algorithms.

© 2007 SPIE and IS&T

Citation

Satyajit Anil Adhyapak ; Nasser Kehtarnavaz and Mihai Nadin
"Stereo matching via selective multiple windows", J. Electron. Imaging. 16(1), 013012 (March 01, 2007). ; http://dx.doi.org/10.1117/1.2711817


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