제목

Facial Feature Automatic Location Based on Improved Active Appearance Models

저자명

 Li Lining, Hahn Hern Soo, Han Youngjoon

초   록

Active Appearance Model is an efficient method for the localization of facial feature points, which is also useful for the subsequent work such as face detection and facial expression recognition. In this paper, we consider the Active Appearance Models based on Principal Component Analysis (PCA). We also proposed that facial depth information can be combined with shape model and texture model, which overcomes some influence suffered by illumination, head pose, etc. Finally, 3D facial curvature is used to initialize the location of facial feature, which helps select the parameters of initial state for improved AAM.

원문 수록처 제 7회 로봇종합학술대회 (KRoC 2012), Page 205 ~ 208
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