PCA-based face recognition in an embedded module for robot application

Author

Kang, Minku ; Cho, Hyunjong ; Moon, Seungbin

Author_Institution

Dept. of Comput. Eng., Sejong Univ., Seoul, South Korea

fYear

2009

fDate

18-21 Aug. 2009

Firstpage

4031

Lastpage

4034

Abstract

In this paper, we implemented PCA-based face recognition algorithm in an ARM CPU embedded module. We performed experiments in the embedded system using Yale face database to measure the recognition rate and processing time. We showed that the computation time has been improved much, while the recognition rate remains similar, when we employ the conversion of floating point to fixed point arithmetic operation.

Keywords

embedded systems; face recognition; fixed point arithmetic; floating point arithmetic; mobile robots; principal component analysis; reduced instruction set computing; robot vision; ARM CPU embedded module; PCA-based face recognition; Yale face database; embedded module; fixed point arithmetic operation; floating point arithmetic operation; mobile robots; principal component analysis; processing time; recognition rate; Biometrics; Embedded computing; Embedded system; Face recognition; Fixed-point arithmetic; Floating-point arithmetic; Performance evaluation; Principal component analysis; Robots; Time measurement; Embedded Module; Face Recognition; PCA; Robot Application;

fLanguage

English

Publisher

ieee

Conference_Titel

ICCAS-SICE, 2009

Conference_Location

Fukuoka

Print_ISBN

978-4-907764-34-0

Electronic_ISBN

978-4-907764-33-3

Type

conf

Filename

5333250