Shape variability and spatial relationships modeling in statistical pattern recognition

Authors:
B. Romaniuk;M. Desvignes;M. Revenu;M.-J. Deshayes
Affiliations:
GREYC Image, ISMRA, Ensicaen, 6, Bvd Maréchal Juin, 14050 Caen Cedex, France;LIS--ENSERG, 961, rue de la Houille Blanche, 38 402 St. Martin d'Hères Cedex, France;GREYC Image, ISMRA, Ensicaen, 6, Bvd Maréchal Juin, 14050 Caen Cedex, France;Télécrâme Innovation, 15, av. de Pont L'Evêque, 14820 Merville-Franceville, France
Venue:
Pattern Recognition Letters
Year:
2004

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Abstract

We focus on the problem of shape variability modeling in statistical pattern recognition. We present a nonlinear statistical model invariant to affine transformations. This model is learned on an ordinate set of points. The concept of relations between model components is also taken in account. This model is used to find curves and points partially occulted in the image. We present its application on medical imaging in cephalometry.