Global Intrinsic Symmetries of Shapes

Loading...
Thumbnail Image
Date
2008
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association and Blackwell Publishing Ltd
Abstract
Although considerable attention in recent years has been given to the problem of symmetry detection in general shapes, few methods have been developed that aim to detect and quantify the intrinsic symmetry of a shape rather than its extrinsic, or pose-dependent symmetry. In this paper, we present a novel approach for efficiently computing symmetries of a shape which are invariant up to isometry preserving transformations. We show that the intrinsic symmetries of a shape are transformed into the Euclidean symmetries in the signature space defined by the eigenfunctions of the Laplace-Beltrami operator. Based on this observation, we devise an algorithm which detects and computes the isometric mappings from the shape onto itself. We show that our approach is both computationally efficient and robust with respect to small non-isometric deformations, even if they include topological changes.
Description

        
@article{
10.1111:j.1467-8659.2008.01273.x
, journal = {Computer Graphics Forum}, title = {{
Global Intrinsic Symmetries of Shapes
}}, author = {
Ovsjanikov, Maks
and
Sun, Jian
and
Guibas, Leonidas
}, year = {
2008
}, publisher = {
The Eurographics Association and Blackwell Publishing Ltd
}, ISSN = {
1467-8659
}, DOI = {
10.1111/j.1467-8659.2008.01273.x
} }
Citation