Facial component detection for efficient facial characteristic point extraction

Authors:
Jeong-Su Oh;Dong-Wook Kim;Jin-Tae Kim;Yong-In Yoon;Jong-Soo Choi
Affiliations:
Division of Image & Information Engineering, Pukyung National University, Korea;School of Engineering, Jeonju University, Korea;Department of Computer & Information Science, Hanseo University, Korea;Graduate School of Advanced Imaging, Multimedia, and Film, Chung-Ang Univ., Korea;Graduate School of Advanced Imaging, Multimedia, and Film, Chung-Ang Univ., Korea
Venue:
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Year:
2005

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Abstract

This paper proposes an algorithm detecting facial component to efficiently extract the FCP (Facial Characteristic Point). The FCP plays an important role in facial expression representation or recognition. For efficient FCP extraction using image processing, we analyze and improve the conventional algorithms detecting facial components that are the basis of the FCP extraction. The proposed algorithm includes face region detection without the effect of skin-color hair, eye region detection with weighted template, eyebrow region detection using a modified histogram, and mouth region detection using skin characteristics.