1 January 2007 Stereo matching via selective multiple windows
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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) Society of Photo-Optical Instrumentation Engineers (SPIE)
Satyajit Adhyapak, Satyajit Adhyapak, Nasser Kehtarnavaz, Nasser Kehtarnavaz, Mihai Nadin, 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 . Submission:

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