JRM Vol.9 No.2 pp. 126-131
doi: 10.20965/jrm.1997.p0126


Matching of Affine Transformed Images by Using Similarity Based on Local Concentric Features

Atsushi Sakai*, Seiji Ujifuku**, and Yoshihiko Nomura*

*Faculty of Engineering, Nagoya University, 1, Furo-cho, Chikusa-ku, Nagoya, 464-01, Japan

**NKK Corporation, Tsurumi-ku, Yokohama, 230, Japan

December 7, 1996
December 20, 1996
April 20, 1997
Pattern matching, Invariant features, Concentric features, Similarity, Correspondence

This paper proposes a pattern matching method based on concentric features calculated over local areas close to feature points. For such feature points, the corner points of images are used, and images generated by complex-log mapping and Fourier transform are used as the concentric features. The procedures are as follows: (1) Similarity is found based on the concentric features in neighborhoods of corner points; (2) in consideration of the uniqueness of correspondence and removal of pseudo-correspondence, correspondence is obtained from this similarity; (3) with correspondence as a weight, the parameters of the affine transformation are estimated. By conducting experiments, the robustness of the proposed technique against deformations and noises is shown.

Cite this article as:
Atsushi Sakai, Seiji Ujifuku, and Yoshihiko Nomura, “Matching of Affine Transformed Images by Using Similarity Based on Local Concentric Features,” J. Robot. Mechatron., Vol.9, No.2, pp. 126-131, 1997.
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Last updated on Feb. 25, 2021