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1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'97)
Efficient Stereo with Multiple Windowing
Puerto Rico
June 17-June 19
ISBN: 0-8186-7822-4
Andrea Fusiello, University of Udine
Vito Roberto, University of Udine
Emanuele Trucco, Heriot-Watt University
We present a new, efficient stereo algorithm addressing robust disparity estimation in the presence of occlusions. The algorithm is an adaptive, multi-window scheme using left-right consistency to compute disparity and its associated uncertainty. We demonstrate and discuss performances with both synthetic and real stereo pairs, and show how our results improve on those of closely related techniques for both robustness and efficiency.
Index Terms:
Stereo; Depth and Shape Recovery; Multiple-Window schemes.
Citation:
Andrea Fusiello, Vito Roberto, Emanuele Trucco, "Efficient Stereo with Multiple Windowing," cvpr, pp.858, 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'97), 1997
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