Topologically clustering: a method for discarding mismatches

Yongtao Wang; Dazhi Zhang; Chenqiang Gao; Jinwen Tian

doi:10.1117/12.748868

15 November 2007 Topologically clustering: a method for discarding mismatches

Yongtao Wang, Dazhi Zhang, Chenqiang Gao, Jinwen Tian

Proceedings Volume 6788, MIPPR 2007: Pattern Recognition and Computer Vision; 678811 (2007) https://doi.org/10.1117/12.748868
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

Wide baseline stereo correspondence has become a challenging and attractive problem in computer vision and its related applications. Getting high correct ratio initial matches is a very important step of general wide baseline stereo correspondence algorithm. Ferrari et al. suggested a voting scheme called topological filter in [3] to discard mismatches from initial matches, but they didn't give theoretical analysis of their method. Furthermore, the parameter of their scheme was uncertain. In this paper, we improved Ferraris' method based on our theoretical analysis, and presented a novel scheme called topologically clustering to discard mismatches. The proposed method has been tested using many famous wide baseline image pairs and the experimental results showed that the developed method can efficiently extract high correct ratio matches from low correct ratio initial matches for wide baseline image pairs.

Citation Download Citation

Yongtao Wang, Dazhi Zhang, Chenqiang Gao, and Jinwen Tian "Topologically clustering: a method for discarding mismatches", Proc. SPIE 6788, MIPPR 2007: Pattern Recognition and Computer Vision, 678811 (15 November 2007); https://doi.org/10.1117/12.748868

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