Facial Analysis From Continuous Video With Application to Human -Computer Interface
Colmenarez, Antonio Jose
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Permalink
https://hdl.handle.net/2142/81290
Description
Title
Facial Analysis From Continuous Video With Application to Human -Computer Interface
Author(s)
Colmenarez, Antonio Jose
Issue Date
1999
Doctoral Committee Chair(s)
Huang, Thomas S.
Department of Study
Electrical Engineering
Discipline
Electrical Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Computer Science
Language
eng
Abstract
The algorithm described in this thesis for embedded face and facial expression recognition is based on a novel probabilistic framework. In this novel framework, faces are modeled not only by their appearance, but also by the spatio-temporal deformation pattern of their expressions. Face recognition and facial expression recognition are carried out in a maximum likelihood setup. Given an image sequence, the algorithm finds the person's model and the facial expression that maximizes the likelihood probability of the observed images. In this framework, facial appearance matching is enhanced by facial expression modeling. Also, changes in facial features due to expressions are used together with facial deformation patterns to perform expression recognition.
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