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Artificial Intelligence – Ii: Image Normalization For Face Recognition Using 3d Model, Zahid Riaz, Michael Beetz, Bernd Radig

International Conference on Information and Communication Technologies

This paper describes an image segmentation and normalization technique using 3D point distribution model and its counterpart in 2D space. This segmentation is efficient to work for holistic image recognition algorithm. The results have been tested with face recognition application using Cohn Kanade facial expressions database (CKFED). The approach follows by fitting a model to face image and registering it to a standard template. The models consist of distribution of points in 2D and 3D. We extract a set of feature vectors from normalized images using principal components analysis and using them for a binary decision tree for classification. A …