DocumentCode
3022142
Title
Projection of shape features for 3D model retrieval
Author
Lee, Chang-Hsing ; Shih, Jau-Ling ; Yu, Kun-Ming ; Chang, Hsiang-Yuen ; Chiou, Yih-Chih
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Chung Hua Univ., Hsinchu, Taiwan
fYear
2011
fDate
26-28 July 2011
Firstpage
634
Lastpage
637
Abstract
In this paper, the combination of different projected shape features is proposed for 3D model retrieval. The projection features include the elevation value (depth), the radial distance, and the angle of a surface mesh. For each of the characteristic values (elevation value, radial distance, and angle value), six projection planes represented as gray-level images will be generated. The MPEG-7 angular radial transform (ART) is then used to compute the feature vector from each projection plane. Experiments conducted on the Princeton Shape Benchmark (PSB) database have shown that the proposed approach outperforms the state-of-the-art descriptors in terms of the DCG score.
Keywords
feature extraction; image retrieval; solid modelling; visual databases; 3D model retrieval; DCG score; MPEG-7 angular radial transform; Princeton shape benchmark database; elevation value; feature vector; gray level image; radial distance; shape feature projection plane; surface mesh; Computational modeling; Databases; Feature extraction; Shape; Solid modeling; Subspace constraints; Three dimensional displays; 3D model retrieval; ART; angle value; elevation value; radial distance;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-61284-771-9
Type
conf
DOI
10.1109/ICMT.2011.6001693
Filename
6001693
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