DocumentCode
3241891
Title
3D Affine Moment Invariants for Surfaces
Author
Xu, Dong ; Li, Hua
Author_Institution
Nat. Res. Center for Intell. Comput. Syst., Chinese Acad. of Sci., Beijing
fYear
2008
fDate
22-24 Oct. 2008
Firstpage
1
Lastpage
4
Abstract
A new kind of weighted surface moments is defined which can achieve affine invariance for unclosed surfaces. We can also select a corresponding point and build a pseudo-solid for surface and compute the affine volume moment invariants. We test the invariance of the two affine moment invariants on a 3D terrain map and a 3D face scan. The experimental result reveals that the weighted surface moment invariants are highly robust to shape deformations and numerical computation.
Keywords
image recognition; 3D affine moment invariants; 3D face scan; 3D terrain map; numerical computation; pseudo-solid; shape deformations; shape recognition; unclosed surfaces; weighted surface moment invariants; Biometrics; Computer vision; Intelligent systems; Object recognition; Remote sensing; Robustness; Shape; Solids; Surface fitting; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2008. CCPR '08. Chinese Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-2316-3
Type
conf
DOI
10.1109/CCPR.2008.26
Filename
4662979
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