A Template-Based Shape Representation Technique

DOI: 10.1007/978-3-540-69812-8_49 In book: Image Analysis and Recognition, pp.497-506
Source: DBLP


In this paper we present a novel approach to shape representation based on correlating a set of object Regions of Interest
(RoI) with a set of shape templates. The resultant correlations are the shape features used to build a Template-based Shape
Feature Vector (TSFV) that represents the shape of the object. For each class of objects, a set of Main Shape Features (MSFs)
is determined so that only the most descriptive features are used when comparing shapes. The proposed technique is tested
on two benchmark databases, Kimia-99 and Kimia-216 and is shown to produce competitive results.

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