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