DocumentCode :
3315288
Title :
Similarity measure based on OBBTree for 3D model search
Author :
Kaku, Keitaro ; Okada, Yoshihiro ; Niijima, Koichi
Author_Institution :
Graduate Sch. of Inf. Sci. & Electr. Eng., Kyushu Univ., Fukuoka, Japan
fYear :
2004
fDate :
26-29 July 2004
Firstpage :
46
Lastpage :
51
Abstract :
The demand of 3D models has been growing in the CG production and the video game industry. Many 3D models have already been created and stored. We need a 3D model database system that allows us to retrieve required 3D models quickly and accurately. In the design of 3D model database systems, there is the question which feature of 3D models is suitable as the similarity measure for 3D model searches. In this paper, the authors propose the use of OBBTree for the similarity measure and describe its usefulness by showing its experimental results and comparison results with the major method called D2. The proposed method showed better results than D2.
Keywords :
computer games; computer graphics; image retrieval; trees (mathematics); visual databases; 3D model database system; 3D model retrieval; 3D model search; D2 method; OBBTree; computer graphics; similarity measure; video game industry; Database systems; Games; Information retrieval; Information science; Intelligent control; Production; Search methods; Shape measurement; Topology; Toy industry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Graphics, Imaging and Visualization, 2004. CGIV 2004. Proceedings. International Conference on
Print_ISBN :
0-7695-2178-9
Type :
conf
DOI :
10.1109/CGIV.2004.1323959
Filename :
1323959
Link To Document :
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