Linear Shape Recognition with Mixtures of Point Distribution Models

Authors:
Abdullah A. Al-Shaher;Edwin R. Hancock
Affiliations:
-;-
Venue:
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Year:
2002

Citing 5
Cited 0

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Abstract

This paper demonstrates how the EM algorithm can be used for learning and matching mixtures of point distribution models. We make two contributions. First, we show how to shape-classes can be learned in an unsupervised manner. Second, we show how recognition by alignment can be realised by fitting a mixture of linear shape deformations. We evaluate the method on the problem of learning class-structure and recognising Arabic characters.