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Automatic facial feature extraction is one of the most important and attempted problems in computer vision. It is a necessary step in face recognition, facial image compression. There are many methods have been proposed in the literature for the facial feature extraction task. However, all of them have still disadvantage such as not complete reflection about face structure, face texture. In this paper, the authors propose a method for fast and accurate extraction of feature points such as eyes, nose, mouth, eyebrows and the like from dynamic images with the purpose of face recognition. These methods are far from satisfactory in terms of extraction accuracy and processing speed.
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