Efficiently estimating facial expression and illumination in appearance-based tracking | Zendy

José M. Buenaposada | Zendy; Enrique Muñoz | Zendy; Luis Baumela | Zendy

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Efficiently estimating facial expression and illumination in appearance-based tracking

Author(s) -

José M. Buenaposada,

Enrique Muñoz,

Luis Baumela

Publication year - 2006

Publication title -

citeseer x (the pennsylvania state university)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.5244/c.20.7

Subject(s) - active appearance model , artificial intelligence , facial expression , linear subspace , computer science , computer vision , subspace topology , face (sociological concept) , expression (computer science) , pattern recognition (psychology) , facial motion capture , representation (politics) , facial recognition system , face hallucination , tracking (education) , image (mathematics) , mathematics , face detection , psychology , social science , pedagogy , sociology , programming language , geometry , politics , law , political science

We introduce a subspace representation of face appearance which separates facial expressions from illumination variations. The appearance of a face is represented by the addition of two approximately independent linear subspaces modelling facial expressions and illumination respectively. The independence assumption notably simplifies the training of the s ystem. We only require two image sequences. One in which one facial expression is subject to all possible illuminations and another in which the face, under one illumination, performs all facial expressions. This simple model enables us to train the system with no manual intervention. We also introduce an efficient procedure for fitting this model, which can be used for tracki ng a human face in real-time.

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