Improving accuracy, robustness and computational efficiency in 3D computer vision
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摘要
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.
论文关键词:Stereo vision,Structure from motion,Temporal stereo
论文评审过程:Received 20 June 2002, Revised 6 December 2003, Accepted 8 December 2003, Available online 13 February 2004.
论文官网地址:https://doi.org/10.1016/j.imavis.2003.12.006