Eigenspace interpolation for appearance-based object recognition

Author

Takahashi, Tatsuro ; Lina ; Ide, Ichiro ; Mekada, Yoshito ; Murase, Hiroshi

Author_Institution

Fac. of Econ. & Inf., Gifu Shotoku Gakuen Univ., Gifu

fYear

2008

fDate

8-11 Dec. 2008

Firstpage

1

Lastpage

4

Abstract

An eigenspace interpolation method smoothly interpolates between two different eigenspaces using high dimensional rotation. However, up to now its effectiveness in object recognition and the validity of the interpolation algorithm have not been discussed sufficiently. We therefore propose an appearance-based object recognition method combining the eigenspace interpolation method and a subspace method. We conducted face recognition experiments using images captured from multiple camera positions with various illumination conditions. Experimental results demonstrate the effectiveness of the proposed method and the validity of the interpolation algorithm.

Keywords

face recognition; interpolation; object recognition; eigenspace interpolation; face recognition; object recognition; subspace method; Background noise; Cameras; Degradation; Eigenvalues and eigenfunctions; Extrapolation; Image recognition; Interpolation; Lighting; Object recognition; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2008. ICPR 2008. 19th International Conference on

Conference_Location

Tampa, FL

ISSN

1051-4651

Print_ISBN

978-1-4244-2174-9

Electronic_ISBN

1051-4651

Type

conf

DOI

10.1109/ICPR.2008.4761272

Filename

4761272