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The ability to detect the locations of facial features is useful for a variety of applications. These applications include automatic facial morphing and warping, expression recognition, hair segmentation, face recognition and classi fication, red-eye detection, and facial image compression. Many of the techniques that are used to locate the positions of facial features are also useful for a variety of other general image feature detection tasks. These can include identifying organs in medical imagery and locating circuit board com ponents in industrial vision applications. Facial feature finding has been studied by a number of researchers. There are mainly four categories of facial feature finding algorithms. They are template matching, edge detection, shape models, and holistic matching. Tech niques that use shape models seem to be the most promising. These methods use a model of the feature shape to constrain the …