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Chinese Optics Letters

Chinese Optics Letters

| PUBLISHED MONTHLY BY CHINESE LASER PRESS AND DISTRIBUTED BY OSA

  • Vol. 7, Iss. 3 — Mar. 1, 2009
  • pp: 201–205

Spectral feature matching based on partial least squares

Weidong Yan, Zheng Tian, Lulu Pan, and Mingtao Ding  »View Author Affiliations


Chinese Optics Letters, Vol. 7, Issue 3, pp. 201-205 (2009)


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Abstract

We investigate the spectral approaches to the problem of point pattern matching, and present a spectral feature descriptors based on partial least square (PLS). Given keypoints of two images, we define the position similarity matrices respectively, and extract the spectral features from the matrices by PLS, which indicate geometric distribution and inner relationships of the keypoints. Then the keypoints matching is done by bipartite graph matching. The experiments on both synthetic and real-world data corroborate the robustness and invariance of the algorithm.

© 2009 Chinese Optics Letters

OCIS Codes
(100.0100) Image processing : Image processing
(100.2000) Image processing : Digital image processing

Citation
Weidong Yan, Zheng Tian, Lulu Pan, and Mingtao Ding, "Spectral feature matching based on partial least squares," Chin. Opt. Lett. 7, 201-205 (2009)
http://www.opticsinfobase.org/col/abstract.cfm?URI=col-7-3-201


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