DocumentCode
2359044
Title
Shape-based 3D model retrieval
Author
Song, Jeong-Jun ; Golshani, Forouzan
Author_Institution
Dept. of Comput. Sci. & Eng., Arizona State Univ., Tempe, AZ, USA
fYear
2003
fDate
3-5 Nov. 2003
Firstpage
636
Lastpage
640
Abstract
Two feature extraction methods for shape similarity based retrieval of 3D object models are presented. The proposed methods, which result in more effective and robust techniques for searching 3D models by similarity, support two essential query modes, namely, query by 3D model and query by 2D image. Our feature extraction scheme is inspired by observation of human behavior in recognizing 3D objects in practice. The process of extracting spatial arrangement from a 3D object surface and 2D shape features from projection images are achieved by adopting curvature distribution of the model surfaces and Fourier descriptors of the projection images.
Keywords
Fourier transforms; feature extraction; image retrieval; solid modelling; visual databases; 2D shape features; 3D object model; 3D object surface; Fourier descriptors; curvature distribution; feature extraction; model surfaces; projection images; query processing; shape similarity based retrieval; shape-based 3D model retrieval; spatial arrangement extraction; Computer graphics; Data mining; Feature extraction; Information retrieval; Multimedia systems; Object recognition; Robustness; Shape; Solid modeling; Spatial databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence, 2003. Proceedings. 15th IEEE International Conference on
ISSN
1082-3409
Print_ISBN
0-7695-2038-3
Type
conf
DOI
10.1109/TAI.2003.1250251
Filename
1250251
Link To Document