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Improving accuracy, robustness and computational efficiency in 3D computer vision
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DOI：10.1016/j.imavis.2003.12.006.png)
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This paper analyses the strengths and weaknesses of some of the most popular traditional and contemporary 3D vision techniques for accuracy, robustness and computational efficiency. A novel technique is proposed that extends traditional stereo vision (SV) algorithms using some of the previously identified techniques resulting in improved robustness, accuracy and computational efficiency. The new multi-scale temporally constrained SV technique is then applied to a conventional SV algorithm and the performance improvements demonstrated. (C) 2004 Elsevier B.V. All rights reserved.
Keyword:
stereo vision
structure from motion
temporal stereo
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