DocumentCode
2958007
Title
Multiscale, curvature-based shape representation for surfaces
Author
Jiang, Ruirui ; Gu, Xianfeng
Author_Institution
Comput. Sci. Dept., Stony Brook Univ., Stony Brook, NY, USA
fYear
2011
fDate
6-13 Nov. 2011
Firstpage
1887
Lastpage
1894
Abstract
This paper presents a multiscale, curvature-based shape representation technique for general genus zero closed surfaces. The method is invariant under rotation, translation, scaling, or general isometric deformations; it is robust to noise and preserves intrinsic symmetry. The method is a direct generalization of the Curvature Scale Space (CSS) shape descriptor for planar curves. In our method, the Riemannian metric of the surface is deformed under Ricci flow, such that the Gaussian curvature evolves according to a heat diffusion process. Eventually the surface becomes a sphere with constant positive curvature everywhere. The evolution of zero curvature curves on the surface is utilized as the shape descriptor. Our experimental results on a 3D geometric database with about 80 shapes demonstrate the efficiency and efficacy of the method.
Keywords
curve fitting; image representation; shape recognition; 3D geometric database; Gaussian curvature; Ricci flow; Riemannian metric; constant positive curvature; curvature curves; curvature scale space; curvature-based shape representation; general genus zero closed surface; general isometric deformation; heat diffusion process; intrinsic symmetry; planar curves; shape descriptor; Cascading style sheets; Heating; Measurement; Noise; Shape; Surface treatment; Three dimensional displays;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision (ICCV), 2011 IEEE International Conference on
Conference_Location
Barcelona
ISSN
1550-5499
Print_ISBN
978-1-4577-1101-5
Type
conf
DOI
10.1109/ICCV.2011.6126457
Filename
6126457
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