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Proceedings Paper

A fast algorithm for wide baseline match basing on feature points filtration
Author(s): Zhenjun Zhang; Zhiguo Cao
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Paper Abstract

A fast algorithm for wide baseline image match is proposed. The algorithm mainly follows the framework of SIFT (scale invariant feature transform) and bases on analytic signal theory. The proposed method firstly evaluates the characteristics of feature points detected by SIFT basing on criterions educed from Laguerre-Gauss function, and then groups all the feature points into two sets according to their robustness and the criterions. It preserves robust feature points to construct local descriptor and ignores the unstable ones in the later computation. Experiments demonstrate, compared with Lowe's SIFT, that the proposed method not only decreases computing tasks, reduces consumed time, but also improves correct match ratio. It is especially suitable for implementation in real-time system.

Paper Details

Date Published: 8 September 2011
PDF: 8 pages
Proc. SPIE 8193, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, 81934Q (8 September 2011); doi: 10.1117/12.903225
Show Author Affiliations
Zhenjun Zhang, Huazhong Univ. of Science and Technology (China)
Zhiguo Cao, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8193:
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications
Jeffery J. Puschell; Junhao Chu; Haimei Gong; Jin Lu, Editor(s)

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