Shape matching using chord-length function

Authors:
Bin Wang;Chaojian Shi
Affiliations:
Department of Computer Science and Engineering, Fudan University, Shanghai, P.R. China;Department of Computer Science and Engineering, Fudan University, Shanghai, P.R. China
Venue:
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Year:
2006

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Abstract

A novel shape descriptor, chord length function (CLF) which can be obtained by equal arc length partitions of a contour, is proposed. The difference of two shapes is measured by the distance between their corresponding CLF. The proposed CLF is invariant to rotation, scaling and translation. It is robust to noise and simple to compute. Experimental results indicate that CLF is an effective shape descriptor.