Novel face detection method based on gabor features

Authors:
Jie Chen;Shiguang Shan;Peng Yang;Shengye Yan;Xilin Chen;Wen Gao
Affiliations:
School of Computer Science and Technology, Harbin Institute of Technology, China;ICT-ISVISION JDL for AFR, Institute of Computing Technology, CAS, Beijing, China;ICT-ISVISION JDL for AFR, Institute of Computing Technology, CAS, Beijing, China;ICT-ISVISION JDL for AFR, Institute of Computing Technology, CAS, Beijing, China;ICT-ISVISION JDL for AFR, Institute of Computing Technology, CAS, Beijing, China;School of Computer Science and Technology, Harbin Institute of Technology, China
Venue:
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
Year:
2004

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Abstract

Gabor-based Face representation has achieved great success in face recognition, while whether and how it can be applied to face detection is rarely studied This paper originally investigates the Gabor feature based face detection method, and proposes a coarse-to-fine hierarchical face detector combining the high efficiency of Harr features and the excellent discriminating power of the Gabor features Gabor features are AdaBoosted to form the final verifier after the cascade of Harr-based AdaBoost face detector Extensive experiments are conducted on several face databases and verified the effectiveness of the proposed approach.