DocumentCode :
2474264
Title :
Knowledge based cluster ensemble for 3D head model classification
Author :
Yu, Zhiwen ; Wong, Hau-San
Author_Institution :
Dept. of Comput. Sci., City Univ. of Hong Kong, Hong Kong, China
fYear :
2008
fDate :
8-11 Dec. 2008
Firstpage :
1
Lastpage :
4
Abstract :
Recently, researchers are paying more attention to 3D model classification due to its useful applications in multimedia, computer graphics, and so on. Although there exist a number of approaches to classify 3D models, few of them consider the prior knowledge during the process of 3D model classification. In this paper, we propose a new framework called knowledge based cluster ensemble which incorporates the prior knowledge of the dataset into the cluster ensemble framework to classify 3D models. The experiments show that knowledge based cluster ensemble framework works well on 3D human head model database.
Keywords :
image classification; knowledge engineering; 3D head model classification; 3D human head model database; knowledge based cluster ensemble; Application software; Computer graphics; Computer science; Distribution functions; Equations; Feature extraction; Head; Humans; Image databases; Spatial databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
ISSN :
1051-4651
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
Type :
conf
DOI :
10.1109/ICPR.2008.4761063
Filename :
4761063
Link To Document :
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