DocumentCode
2795275
Title
Efficient Registration of 3D SPHARM Surfaces
Author
Shen, Li ; Huang, Heng ; Makedon, Fillia ; Saykin, Andrew J.
Author_Institution
Univ. of Massachusetts Dartmouth, Dartmouth
fYear
2007
fDate
28-30 May 2007
Firstpage
81
Lastpage
88
Abstract
We present SHREC, an efficient algorithm for registration of 3D SPHARM (spherical harmonic) surfaces. SHREC follows the iterative closest point (ICP) registration strategy, and alternately improves the surface correspondence and adjusts the object pose. It establishes the surface correspondence by aligning the underlying SPHARM parameterization. It employs a rotational property of the harmonic expansion to accelerate its step for parameterization rotation. It uses a hierarchical icosahedron approach to sample the rotation space and searches for the best parameterization that matches the template. Our experimental results show that SHREC can not only create more accurate registration than previous methods but also do it efficiently. SHREC is a simple, efficient and general registration method, and has a great potential to be used in many shape modeling and analysis applications.
Keywords
image matching; image registration; solid modelling; 3D SPHARM surface; hierarchical icosahedron approach; image matching; image registration; iterative closest point registration strategy; Application software; Biomedical imaging; Computer graphics; Computer vision; Ellipsoids; Image analysis; Iterative algorithms; Iterative closest point algorithm; Mathematical model; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Robot Vision, 2007. CRV '07. Fourth Canadian Conference on
Conference_Location
Montreal, Que.
Print_ISBN
0-7695-2786-8
Type
conf
DOI
10.1109/CRV.2007.26
Filename
4228526
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