DocumentCode :
467521
Title :
Self-organizing Deformable Model for Mapping 3D Object Model onto Arbitrary Target Surface
Author :
Morooka, Ken´ichi ; Matsui, Shun ; Nagahashi, Hiroshi
Author_Institution :
Kyushu Univ., Fukuoka
fYear :
2007
fDate :
21-23 Aug. 2007
Firstpage :
193
Lastpage :
200
Abstract :
This paper presents a new technique for projecting a 3D object mesh model onto a surface of another target object. The mesh model adapts its shape to the target surface, and is called Self-organizing Deformable Model(SDM). The SDM algorithm works by combining a competitive learning and an energy minimization. The framework of the SDM makes it possible to map a mesh model onto various kinds of target surfaces. This characteristic can not be seen in other methods for surface parameterization, and it enables us to apply the SDM to some different fields in computer vision and computer graphics. Also the SDM can reconstruct shapes of target objects similar to general deformable models.
Keywords :
computer vision; image reconstruction; solid modelling; 3D object model mapping; arbitrary target surface; competitive learning; computer graphics; computer vision; energy minimization; self-organizing deformable model; surface parameterization; Biomedical imaging; Computer graphics; Computer vision; Deformable models; Eyes; Image reconstruction; Laboratories; Shape; Surface fitting; Surface reconstruction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
3-D Digital Imaging and Modeling, 2007. 3DIM '07. Sixth International Conference on
Conference_Location :
Montreal, QC
ISSN :
1550-6185
Print_ISBN :
978-0-7695-2939-4
Type :
conf
DOI :
10.1109/3DIM.2007.46
Filename :
4296755
Link To Document :
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