Title :
Integrating the user´s semantic features with content-based 3D model retrieval
Author_Institution :
Coll. of Inf. & Comput. Eng., Northeast Forestry Univ., Harbin, China
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;
Conference_Titel :
Computer and Communication Technologies in Agriculture Engineering (CCTAE), 2010 International Conference On
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6944-4
DOI :
10.1109/CCTAE.2010.5544386