Deformable 2D Shape Matching Based on Shape Contexts and Dynamic Programming

Authors:
Iasonas Oikonomidis;Antonis A. Argyros
Affiliations:
Institute of Computer Science, Forth, and Computer Science Department, University of Crete,;Institute of Computer Science, Forth, and Computer Science Department, University of Crete,
Venue:
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Year:
2009

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Abstract

This paper presents a method for matching closed, 2D shapes (2D object silhouettes) that are represented as an ordered collection of shape contexts [1]. Matching is performed using a recent method that computes the optimal alignment of two cyclic strings in sub-cubic runtime. Thus, the proposed method is suitable for efficient, near real-time matching of closed shapes. The method is qualitatively and quantitatively evaluated using several datasets. An application of the method for joint detection in human figures is also presented.