Statistical Shape Model of Variability and Spatial Relationships

Abstract : In this paper we model shape objects variability and spatial relationships between characteristics of this object. What is an object? We consider that an object is a set of shapes and points. We establish here a formalism unifying shapes and points by approximating shape contours by composite B'ezier curves. These are equivalent to their control points. We then propose a non linear invariant statistical model and we learn the average object, it's variability and relationships. We finally evaluate our methodology in cephalometry, by modeling anatomical structures and points.
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Communication dans un congrès
ICISP 2003 - International Conference on Image and Signal Processing, 2003, Agadir, Morocco. 1, pp.224-231, 2003
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https://hal.archives-ouvertes.fr/hal-00843496
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Dernière modification le : jeudi 7 février 2019 - 17:47:09
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Icisp2003-Romaniuk.pdf
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  • HAL Id : hal-00843496, version 1

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Barbara Romaniuk, Michel Desvignes, Marinette Revenu, Marie-Josèphe Deshayes. Statistical Shape Model of Variability and Spatial Relationships. ICISP 2003 - International Conference on Image and Signal Processing, 2003, Agadir, Morocco. 1, pp.224-231, 2003. 〈hal-00843496〉

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