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Paper Abstract and Keywords
Presentation 2004-10-22 11:00
Pose Estimation of 3D Object Using Support Vector Regression
Shingo Ando, Yoshinori Kusachi, Akira Suzuki, Kenichi Arakawa (NTT)
Abstract (in Japanese) (See Japanese page) 
(in English) Several methods for estimating the pose of a 3D object from its appearance have been proposed. The parametric eigenspace method is typical of such methods. One key disadvantage of this method is that storage requirements explode when the degree of freedom is increased. In this paper, we propose a method of suppressing this increase in storage requirements by describing the relationship between an image and a pose as functions. Experiments show that pose estimation functions, which keep the generalization ability high even if the coefficients are small, are obtained by using support vector regression.
Keyword (in Japanese) (See Japanese page) 
(in English) 3D Object / Pose Estimation / Principle Component Analysis / Support Vector Regression / / / /  
Reference Info. IEICE Tech. Rep., vol. 104, no. 370, PRMU2004-91, pp. 9-15, Oct. 2004.
Paper # PRMU2004-91 
Date of Issue 2004-10-15 (PRMU) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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Conference Information
Committee PRMU  
Conference Date 2004-10-21 - 2004-10-22 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2004-10-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Pose Estimation of 3D Object Using Support Vector Regression 
Sub Title (in English)  
Keyword(1) 3D Object  
Keyword(2) Pose Estimation  
Keyword(3) Principle Component Analysis  
Keyword(4) Support Vector Regression  
1st Author's Name Shingo Ando  
1st Author's Affiliation NTT Cyber Space Laboratories, NTT Corporation (NTT)
2nd Author's Name Yoshinori Kusachi  
2nd Author's Affiliation NTT Cyber Space Laboratories, NTT Corporation (NTT)
3rd Author's Name Akira Suzuki  
3rd Author's Affiliation NTT Cyber Space Laboratories, NTT Corporation (NTT)
4th Author's Name Kenichi Arakawa  
4th Author's Affiliation NTT Cyber Space Laboratories, NTT Corporation (NTT)
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Date Time 2004-10-22 11:00:00 
Presentation Time 30 
Registration for PRMU 
Paper # IEICE-PRMU2004-91 
Volume (vol) IEICE-104 
Number (no) no.370 
Page pp.9-15 
#Pages IEICE-7 
Date of Issue IEICE-PRMU-2004-10-15 

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