Neural Network Cascade for Facial Feature Localization

  • Thibaud Senechal
  • Lionel Prevost
  • Shehzad Muhammad Hanif
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5998)

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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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Thibaud Senechal
    • 1
  • Lionel Prevost
    • 1
  • Shehzad Muhammad Hanif
    • 1
  1. 1.ISIR, CNRS UMR7222Universite Pierre and Marie Curie-Paris 6Paris Cedex 5France

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