Image and Vision Computing

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 algorithms using some of the previously identified techniques resulting in improved robustness, accuracy and computational efficiency. The new multi-scale temporally constrained stereo vision technique is then applied to a conventional stereo vision algorithm and the performance improvements demonstrated. 1