High-quality edge match with simplified SGM algorithm

Jun Wu; Zexin Yao; Zhiyong Peng

doi:10.1117/12.2031097

27 October 2013 High-quality edge match with simplified SGM algorithm

Jun Wu, Zexin Yao, Zhiyong Peng

Proceedings Volume 8919, MIPPR 2013: Pattern Recognition and Computer Vision; 891913 (2013) https://doi.org/10.1117/12.2031097
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

Abstract

This paper presents our research on implementing SGM to obtain reliable edge points from intensity indoor image pair. To this end, the most basic theory of SGM is first outlined and with concern to the inherent nature of edge points, facts that take much advantage of SGM features are summarized as well. Next, we make discussion on detail procedures of edge matching with simplified SGM algorithm, in which gradient magnitude images is used to compute mutual information match cost and the matching costs of detected edge points are aggregated. Finally, the edge matching result with presented technique clearly demonstrates higher reliability and efficiency. Valuable conclusions are given as well.

Citation Download Citation

Jun Wu, Zexin Yao, and Zhiyong Peng "High-quality edge match with simplified SGM algorithm", Proc. SPIE 8919, MIPPR 2013: Pattern Recognition and Computer Vision, 891913 (27 October 2013); https://doi.org/10.1117/12.2031097

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