DocumentCode :
639352
Title :
Three-Dimensional Bilateral Symmetry Plane Estimation in the Phase Domain
Author :
Kakarala, Ramakrishna ; Kaliamoorthi, Prabhu ; Premachandran, Vittal
Author_Institution :
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear :
2013
fDate :
23-28 June 2013
Firstpage :
249
Lastpage :
256
Abstract :
We show that bilateral symmetry plane estimation for three-dimensional (3-D) shapes may be carried out accurately, and efficiently, in the spherical harmonic domain. Our methods are valuable for applications where spherical harmonic expansion is already employed, such as 3-D shape registration, morphometry, and retrieval. We show that the presence of bilateral symmetry in the 3-D shape is equivalent to a linear phase structure in the corresponding spherical harmonic coefficients, and provide algorithms for estimating the orientation of the symmetry plane. The benefit of using spherical harmonic phase is that symmetry estimation reduces to matching a compact set of descriptors, without the need to solve a correspondence problem. Our methods work on point clouds as well as large-scale mesh models of 3-D shapes.
Keywords :
computer graphics; image registration; image retrieval; 3D bilateral symmetry plane estimation; 3D shape registration; large-scale mesh models; linear phase structure; morphometry; phase domain; point clouds; shape retrieval; spherical harmonic coefficients; spherical harmonic domain; spherical harmonic expansion; spherical harmonic phase; symmetry estimation; Bandwidth; Estimation; Fourier transforms; Harmonic analysis; Optimization; Shape; Vectors; phase; sampling; spherical harmonics; symmetry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on
Conference_Location :
Portland, OR
ISSN :
1063-6919
Type :
conf
DOI :
10.1109/CVPR.2013.39
Filename :
6618883
Link To Document :
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