An Image Matching Algorithm Based on SIFT and Invariability of Feature Points Set

Abstract:

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Feature points can be used to match images. Candidate feature points are extracted through SIFT firstly. Then feature points are selected from candidate points through singular value decomposing. Distance between feature points sets is computed According to theory of invariability of feature points set, images are matched if the distance is less than a threshold. Experiment showed that this algorithm is available.

Info:

Periodical:

Edited by:

Dongye Sun, Wen-Pei Sung and Ran Chen

Pages:

701-704

DOI:

10.4028/www.scientific.net/AMM.121-126.701

Citation:

X. T. Wang et al., "An Image Matching Algorithm Based on SIFT and Invariability of Feature Points Set", Applied Mechanics and Materials, Vols. 121-126, pp. 701-704, 2012

Online since:

October 2011

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Price:

$35.00

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