Modelling facial colour and identity with Gaussian mixtures

نویسندگان

  • Stephen J. McKenna
  • Shaogang Gong
  • Yogesh Raja
چکیده

An integrated system for the acquisition, normalisation and recognition of moving faces in dynamic scenes is introduced. Four face recognition tasks are deened and it is argued that modelling person-speciic probability densities in a generic face space using mixture models provides a technique applicable to all four tasks. The use of Gaussian colour mixtures for face detection and tracking is also described. Results are presented using data from the integrated system.

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عنوان ژورنال:
  • Pattern Recognition

دوره 31  شماره 

صفحات  -

تاریخ انتشار 1998