DocumentCode :
1049964
Title :
Content-Based 3D Object Retrieval
Author :
Bustos, Benjamin ; Keim, Daniel ; Saupe, Dietmar ; Schreck, Tobias
Author_Institution :
Univ. of Chile, Santiago
Volume :
27
Issue :
4
fYear :
2007
Firstpage :
22
Lastpage :
27
Abstract :
Methods for automatically extracting descriptors from 3D objects are key to searching and indexing techniques in their growing repositories. The authors present two recently proposed approaches and discuss methods for benchmarking the 3D retrieval systems´ qualitative performance.
Keywords :
content-based retrieval; image retrieval; multimedia databases; content-based 3D object retrieval; descriptor-based approach; direct geometric matching; indexing technique; multimedia database; Content based retrieval; Data mining; Extraterrestrial measurements; Feature extraction; Indexing; Information geometry; Noise shaping; Proteins; Shape; Solids; 3D object retrieval; 3D objects; benchmarking; database retrieval; feature extraction; indexing; similarity search; Algorithms; Artificial Intelligence; Computer Graphics; Database Management Systems; Databases, Factual; Documentation; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Information Storage and Retrieval; Pattern Recognition, Automated; User-Computer Interface;
fLanguage :
English
Journal_Title :
Computer Graphics and Applications, IEEE
Publisher :
ieee
ISSN :
0272-1716
Type :
jour
DOI :
10.1109/MCG.2007.80
Filename :
4267943
Link To Document :
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