Sampling curve images to find similarities among parts of images

Authors:
Kazunori Iwata;Akira Hayashi
Affiliations:
Graduate School of Information Sciences, Hiroshima City University, Hiroshima, Japan;Graduate School of Information Sciences, Hiroshima City University, Hiroshima, Japan
Venue:
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Year:
2008

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Abstract

In statistical shape analysis, curve matching is often used to find correspondences between the sample points of a curve image and those of another curve image by using a dissimilarity measure of curve images. In this paper, we present a novel dissimilarity measure of curve images to be used in curve matching, together with a way of distributing sample points on each curve image. We prove that the dissimilarity measure has an asymptotic guarantee for finding a part of a curve image which is similar to a part of another one, with their respective sample points.