SUSAN—A New Approach to Low Level Image Processing
International Journal of Computer Vision
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
A Cooperative Algorithm for Stereo Matching and Occlusion Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Advances in Computational Stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-Time Stereo by using Dynamic Programming
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 3 - Volume 03
Improved Real-Time Stereo on Commodity Graphics Hardware
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 3 - Volume 03
Near Real-Time Reliable Stereo Matching Using Programmable Graphics Hardware
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Locally Adaptive Support-Weight Approach for Visual Correspondence Search
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Fast variable window for stereo correspondence using integral images
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
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This paper presents a fast stereo matching algorithm using SUSAN window. The response of SUSAN window is used to calculate the dissimilarity cost. From this dissimilarity cost, an initial match can be found. Then, with this initial match, a dynamic programming algorithm searches for the best path of two scan lines. Since the proposed dissimilarity cost calculation method is very simple, and does not make use of any complicated mathematic formula, its running time is almost as same as SAD in the fixed window. In addition, the proposed matching algorithm only has two control parameters, bright threshold and occlusion penalty, which make it to be easily optimized.