Efficient stereo with multiple windowing

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 syn...

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Bibliographic Details
Published inProceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition pp. 858 - 863
Main Authors Fusiello, A., Roberto, V., Trucco, E.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1997
Subjects
Cameras
Computational geometry
Image reconstruction
Informatics
Laboratories
Layout
Machine vision
Pixel
Robustness
Uncertainty
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ISBN9780818678226
0818678224
ISSN1063-6919
1063-6919
DOI10.1109/CVPR.1997.609428

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Summary: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.
ISBN:9780818678226
0818678224
ISSN:1063-6919
1063-6919
DOI:10.1109/CVPR.1997.609428