Journal article
Planar shape recognition by shape morphing
Pattern recognition, Vol.33(10), pp.1683-1699
10/01/2000
DOI: 10.1016/S0031-3203(99)00143-0
Abstract
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 quantified by using a physics-based formulation. This quantification is used as a dissimilarity measure to find 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.
Details
- Title: Subtitle
- Planar shape recognition by shape morphing
- Creators
- Rahul SinghNikolaos P. Papanikolopoulos - University of Minnesota
- Resource Type
- Journal article
- Publication Details
- Pattern recognition, Vol.33(10), pp.1683-1699
- Publisher
- Elsevier Ltd
- DOI
- 10.1016/S0031-3203(99)00143-0
- ISSN
- 0031-3203
- eISSN
- 1873-5142
- Language
- English
- Date published
- 10/01/2000
- Academic Unit
- Computer Science
- Record Identifier
- 9984446446202771
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