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In this paper, we propose a new method for facial expression recognition. We utilize the Candide facial grid and apply principal components analysis (PCA) to find the two eigenvectors of the model vertices. These eigenvectors along with the barycenter of the vertices are used to define a new coordinate system where vertices are mapped. Support vector machines (SVMs) are then used for the facial expression...
This paper describes an efficient approach for face recognition as a two step process: (1) segmenting the face region from an image by using an appearance based model, (2) using eigenfaces for person identification for segmented face region. The efficiency lies not only in generation of appearance models which uses the explicit approach for shape and texture but also the combined use of the aforementioned...
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