Facial feature detection under various illuminations

  • Authors:
  • Jingying Chen;Bernard Tiddeman

  • Affiliations:
  • School of Computer Science, University of St Andrews, Fife, UK;School of Computer Science, University of St Andrews, Fife, UK

  • Venue:
  • ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
  • Year:
  • 2007

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Abstract

An efficient and robust method to locate eyes and lip corners under various illumination conditions is presented in this paper. First, a global illumination balance method is presented to compensate for variations in illumination and accentuate facial feature details. Next, a human face is distinguished from background based on Haar-like features. After that, eyes are found based on their intensity characteristics and Haar-like features. The lip region is estimated using the positions and sizes of face and eyes. Then, a novel local illumination balance technique, based on an integral projection analysis, is proposed to correct for the non-uniform illumination in the lip region. Finally, lip corners are detected based on their intensity and geometric characteristics. Encouraging results have been obtained using the proposed method.