DocumentCode :
1677723
Title :
A simple and efficient approach for 3D model decomposition
Author :
Alizadeh, Farzad ; Sutherland, Alexandria ; Dehghani, Abbas
Author_Institution :
Sch. of Comput., Dublin City Univ., Dublin, Ireland
fYear :
2013
Firstpage :
1
Lastpage :
4
Abstract :
Number of 3D models is growing every day. Segmentation of such models has recently attracted lot of attentions. In this paper we propose a two-phase approach for segmentation of 3D models. We leveraged a well-known fact from electrical physics for both initial segment specification and boundary detections. The first phase tries to locate the initial segments having higher charge density while the second phase, leverages the minima rule and geodesic distance to find the boundary parts in the concave areas. The proposed approach has a great advantage over the similar approach proposed by Wu and Levine [1]. The experimental result on the SHREC 2007 dataset show the promising results for partial matching in 3D model retrieval.
Keywords :
image segmentation; solid modelling; 3D model decomposition; 3D model segmentation; boundary detections; concave areas; electrical physics; geodesic distance; initial segment specification; minima rule; Computational modeling; Educational institutions; Mathematical model; Object segmentation; Physics; Solid modeling; Three-dimensional displays; 3D model segmentation; Charge density; minima rule; model retrieval;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Vision and Image Processing (MVIP), 2013 8th Iranian Conference on
Conference_Location :
Zanjan
ISSN :
2166-6776
Print_ISBN :
978-1-4673-6182-8
Type :
conf
DOI :
10.1109/IranianMVIP.2013.6779939
Filename :
6779939
Link To Document :
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