A fast algorithm for wide baseline match basing on feature points filtration

Zhenjun Zhang; Zhiguo Cao

doi:10.1117/12.903225

8 September 2011 A fast algorithm for wide baseline match basing on feature points filtration

Zhenjun Zhang, Zhiguo Cao

Proceedings Volume 8193, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications; 81934Q (2011) https://doi.org/10.1117/12.903225
Event: International Symposium on Photoelectronic Detection and Imaging 2011, 2011, Beijing, China

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.

Citation Download Citation

Zhenjun Zhang and Zhiguo Cao "A fast algorithm for wide baseline match basing on feature points filtration", Proc. SPIE 8193, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, 81934Q (8 September 2011); https://doi.org/10.1117/12.903225

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