Stereo matching via selective multiple windows

Satyajit Adhyapak; Nasser Kehtarnavaz; Mihai Nadin

doi:10.1117/1.2711817

1 January 2007 Stereo matching via selective multiple windows

Satyajit Adhyapak, Nasser Kehtarnavaz, Mihai Nadin

Author Affiliations +

Journal of Electronic Imaging, Vol. 16, Issue 1, 013012 (January 2007). https://doi.org/10.1117/1.2711817

Abstract

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) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Satyajit Adhyapak, Nasser Kehtarnavaz, and Mihai Nadin "Stereo matching via selective multiple windows," Journal of Electronic Imaging 16(1), 013012 (1 January 2007). https://doi.org/10.1117/1.2711817

Published: 1 January 2007

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