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Proceedings Paper

High-quality edge match with simplified SGM algorithm
Author(s): Jun Wu; Zexin Yao; Zhiyong Peng
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Paper 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.

Paper Details

Date Published: 27 October 2013
PDF: 5 pages
Proc. SPIE 8919, MIPPR 2013: Pattern Recognition and Computer Vision, 891913 (27 October 2013); doi: 10.1117/12.2031097
Show Author Affiliations
Jun Wu, Guilin Univ. of Electronic Technology (China)
Zexin Yao, Guilin Univ. of Electronic Technology (China)
Zhiyong Peng, Guilin Univ. of Electronic Technology (China)


Published in SPIE Proceedings Vol. 8919:
MIPPR 2013: Pattern Recognition and Computer Vision
Zhiguo Cao, Editor(s)

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