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Planar shape recognition by shape morphing

โœ Scribed by Rahul Singh; Nikolaos P. Papanikolopoulos

Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
541 KB
Volume
33
Category
Article
ISSN
0031-3203

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โœฆ Synopsis

A novel method based on shape morphing is proposed for 2D shape recognition. In this framework, the shape of objects is described by using their contour. Shape recognition involves a morph between the contours of the objects being compared. The morph is quanti"ed by using a physics-based formulation. This quanti"cation is used as a dissimilarity measure to "nd the reference shape most similar to the input. The dissimilarity measure is shown to have the properties of a metric as well as invariance to Euclidean transformations. The recognition paradigm is applicable to both convex and non-convex shapes. Moreover, the applicability of the method is not constrained to closed shapes. Based on the metric properties of the dissimilarity method, a search strategy is described that obviates an exhaustive search of the template database during recognition experiments. Experimental results on the recognition of various types of shapes are presented.

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