Abstract
We present here a complete system for the localization of facial features in frontal face images. In the first step, face detection is performed using Viola & Jones state of art algorithm. Then, a cascade of neural networks localizes precisely 28 facial features. The first network performs a coarse detection of three areas in the image corresponding roughly to left and right eyes and mouths. Then, three local networks localize, in these areas, 9 key points per eye and 10 key points on the mouth. Thorough experiments on 3500 images from standard databases (Feret, BioID) show the detector accuracy, its generalization ability and speed.
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Senechal, T., Prevost, L., Hanif, S.M. (2010). Neural Network Cascade for Facial Feature Localization. In: Schwenker, F., El Gayar, N. (eds) Artificial Neural Networks in Pattern Recognition. ANNPR 2010. Lecture Notes in Computer Science(), vol 5998. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12159-3_13
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DOI: https://doi.org/10.1007/978-3-642-12159-3_13
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