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

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 recogn...

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Bibliographische Detailangaben
Hauptverfasser:	Minku Kang, Hyunjong Cho, Seungbin Moon
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Biometrics Embedded computing Embedded Module Embedded system Face recognition Fixed-point arithmetic Floating-point arithmetic PCA Performance evaluation Principal component analysis Robot Application Robots Time measurement
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Beschreibung
Zusammenfassung:	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.