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Poster communications

Accurately Detecting Symmetries of 3D Shapes

Aurélien Martinet 1 Cyril Soler 1, 2 Nicolas Holzschuch 1 François X. Sillion 1
1 ARTIS - Acquisition, representation and transformations for image synthesis
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : Many shapes and geometrical models exhibit symmetries. These symmetries are sometimes explicitly represented in the model. However, symmetry information is often lost in automatic transla- tions between file formats. Using symmetries, one can, for example, manipulate models through coherent re-meshing or intelligent mesh editing programs. We present two algorithms that automatically retrieve symmetries in a 3D model through the use of an intermediate set of functions: The Generalized Even Moments
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Poster communications
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Contributor : Nicolas Holzschuch <>
Submitted on : Thursday, December 17, 2009 - 10:16:48 AM
Last modification on : Friday, June 26, 2020 - 4:04:02 PM
Long-term archiving on: : Thursday, June 17, 2010 - 8:54:42 PM


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  • HAL Id : inria-00441631, version 1


Aurélien Martinet, Cyril Soler, Nicolas Holzschuch, François X. Sillion. Accurately Detecting Symmetries of 3D Shapes. Eurographics Symposium on Geometry Processing (Poster session), Jul 2005, Vienna, Austria. 2005. ⟨inria-00441631v1⟩



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