제어로봇시스템학회:학술대회논문집
- 2004.08a
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- Pages.1485-1490
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- 2004
A New 3D Active Camera System for Robust Face Recognition by Correcting Pose Variation
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Kim, Young-Ouk
(Precision Machinery Center, Korea Electronics Technology Institute, Image Processing and Intelligent Systems Laboratory, Department of Image Engineering, Graduate School of Advanced Imaging Science, Multimedia, and Film,Chung-Ang University) ;
- Jang, Sung-Ho (Image Processing and Intelligent Systems Laboratory, Department of Image Engineering, Graduate School of Advanced Imaging Science, Multimedia, and Film,Chung-Ang University) ;
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Park, Chang-Woo
(Precision Machinery Center, Korea Electronics Technology Institute) ;
- Sung, Ha-Gyeong (Precision Machinery Center, Korea Electronics Technology Institute) ;
- Kwon, Oh-Yun (Image Processing and Intelligent Systems Laboratory, Department of Image Engineering, Graduate School of Advanced Imaging Science, Multimedia, and Film,Chung-Ang University) ;
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Paik, Joon-Ki
(Image Processing and Intelligent Systems Laboratory, Department of Image Engineering, Graduate School of Advanced Imaging Science, Multimedia, and Film,Chung-Ang University)
- Published : 2004.08.25
Abstract
Recently, we have remarkable developments in intelligent robot systems. The remarkable features of intelligent robot are that it can track user, does face recognition and vital for many surveillance based systems. Advantage of face recognition when compared with other biometrics recognition is that coerciveness and contact that usually exist when we acquire characteristics do not exist in face recognition. However, the accuracy of face recognition is lower than other biometric recognition due to decrease in dimension from of image acquisition step and various changes associated with face pose and background. Factors that deteriorate performance of face recognition are many such as distance from camera to face, lighting change, pose change, and change of facial expression. In this paper, we implement a new 3D active camera system to prevent various pose variation that influence face recognition performance and propose face recognition algorithm for intelligent surveillance system and mobile robot system.