DocumentCode :
3478723
Title :
Integrating the user´s semantic features with content-based 3D model retrieval
Author :
Siqing, Luo
Author_Institution :
Coll. of Inf. & Comput. Eng., Northeast Forestry Univ., Harbin, China
Volume :
3
fYear :
2010
fDate :
12-13 June 2010
Firstpage :
121
Lastpage :
123
Abstract :
Content-based 3D model retrieval technology has become one of the hottest research spots. In order to improving the performance of retrieval, this paper proposed a method which based on the distribution surface area of 3D model and integrating with user´s semantic features. we conducted retrieval experiments, the results shown that the retrieval accuracy and efficiency are both improved.
Keywords :
content-based retrieval; solid modelling; user interfaces; content-based 3D model retrieval; distribution surface area; user semantic features; Computational modeling; Feature extraction; Semantics; Solid modeling; Three dimensional displays; 3D Model Retrieval; Content-based retrieval; area distribution based retrieval; similarity matching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Communication Technologies in Agriculture Engineering (CCTAE), 2010 International Conference On
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6944-4
Type :
conf
DOI :
10.1109/CCTAE.2010.5544386
Filename :
5544386
Link To Document :
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