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. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Oh, J. S., Kim, D. W., Kim, J. T., Yoon, Y. I., & Choi, J. S. (2005). Facial component detection for efficient facial characteristic point extraction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3656 LNCS, pp. 1125–1132). https://doi.org/10.1007/11559573_136
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