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Accurately Detecting Symmetries of 3D Shapes

Aurélien Martinet 1 Cyril Soler 1 Nicolas Holzschuch 1, * François X. Sillion 1
* Corresponding author
1 ARTIS - Acquisition, representation and transformations for image synthesis
GRAVIR - IMAG - Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : We propose an automatic method for finding symmetries of 3D shapes, i.e. isometric transforms which leave a shape globally unchanged. These symmetries are deterministically found through the use of an intermediate quantity: the generalized even moments. By examining their extrema and spherical harmonic coefficients we recover the parameters of the symmetries of the shape. The computation for large composite models is made efficient by using this information in an incremental algorithm capable of recovering the symmetries of a whole shape using the symmetries of its sub-parts. Applications of this work range from coherent re-meshing of geometry with respect to the symmetries of a shape, to geometric compression, intelligent mesh editing and automatic instantiation.
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Aurélien Martinet, Cyril Soler, Nicolas Holzschuch, François X. Sillion. Accurately Detecting Symmetries of 3D Shapes. [Research Report] RR-5692, 2005, pp.30. ⟨inria-00510152⟩

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