3D model retrieval using 2D cepstral features

Author

Lee, Chang-Hsing ; Shih, Jau-Ling ; Chou, Chih-Hsun ; Yu, Kung-Ming ; Hung, Chuan-Yen

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., Chung Hua Univ., Hsinchu, Taiwan

fYear

2012

fDate

25-30 March 2012

Firstpage

2365

Lastpage

2368

Abstract

In this paper, we will propose a 3D model retrieval approach using 2D cepstral features. First, six projection planes representing the elevation (depth) value are generated. Then, 2D cepstral features are extracted from each projection plane for searching similar 3D models. Experiments conducted on the Princeton Shape Benchmark (PSB) database have shown that the proposed 2D cepstral features outperforms other state-of-the-art descriptors in terms of the DCG score.

Keywords

feature extraction; information retrieval; solid modelling; 2D cepstral feature extraction; 3D model retrieval; Princeton Shape Benchmark database; depth value; elevation value; projection plane; Cepstral analysis; Computational modeling; Databases; Feature extraction; Shape; Solid modeling; Vectors; 2D cepstral feature; 3D model retrieval;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on

Conference_Location

Kyoto

ISSN

1520-6149

Print_ISBN

978-1-4673-0045-2

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2012.6288390

Filename

6288390

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3153643