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Classifying variable objects using a flexible shape model

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4 Author(s)
Lanitis, A. ; Wolfson Image Anal. Unit, UK ; Taylor, C.J. ; Ahmed, T. ; Cootes, T.F.

Point distribution models (PDMs) are statistical models which represent objects whose shape can vary. A useful feature of PDMs is their ability to capture the shape of variable objects within a training set with a small number of shape parameters. This compact and accurate parametrization can be used for the design of efficient classification systems. The authors describe a classification system which uses shape parameters. They have tested the system on classifying hand outlines, face outlines and hand gestures; experimental results are presented

Published in:

Image Processing and its Applications, 1995., Fifth International Conference on

Date of Conference:

4-6 Jul 1995