A Study on the Face Recognition and Facial Expression Recognition based on the Face Geometrical Characteristics
Dadong Zhao, Jeong-Young Song · 한국정보기술학회논문지 · 2010
The paper is face recognition and facial expression recognition based on the face geometrical characteristics. In face recognition stages, this paper has analyzed face characteristics and designed the face features, then it extracts the features and constructed the feature values, and at last, it realizes face recognition through matching of similarity of the feature values, for the selection of feature components, we have comprehensively considered the overall features and partial features of face, the face recognition experiment shows that these features can reflect the individual features of human face, which can be treated as an effective basis for face recognition, thus to realize face recognition; in facial expression recognition stages, mouth plays a key role in expressing emotions, in this paper the features is mainly based on the shapes of mouth, followed by eyes and eyebrows. This paper makes its efforts to disperse every feature values via the weighting function and proposes method of expression classification with excellent classification effects; the final recognition model has been constructed.