Robust Shape Normalization Based on Implicit Representations

Tingting Jiang 1 Carlo Tomasi 2
1 LEAR - Learning and recognition in vision
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : We introduce a new shape normalization method based on implicit shape representations. The proposed method is robust with respect to deformations and invariant to similarity transformations (translation, isotropic scaling and rotation). The new method has been tested and compared to the classical shape normalization method and previous work in terms of aligning groups of shapes with deformations.
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Communication dans un congrès
ICPR 2008 - IEEE International Conference on Pattern Recognition, Oct 2008, Tampa, United States. IEEE Computer Society, pp.1-4, 2008, <http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4761202>. <10.1109/ICPR.2008.4761202>
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Dernière modification le : mardi 29 juillet 2014 - 00:03:53
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Tingting Jiang, Carlo Tomasi. Robust Shape Normalization Based on Implicit Representations. ICPR 2008 - IEEE International Conference on Pattern Recognition, Oct 2008, Tampa, United States. IEEE Computer Society, pp.1-4, 2008, <http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4761202>. <10.1109/ICPR.2008.4761202>. <inria-00548661>

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