Face recognition for laptop6/14/2023 These results have significant practical implications. This analysis is followed by `view-fusion' across multiple views in various configurations to come up with joint decisions. Then we do a significance analysis of the effect of changes in pan and tilt angles on expression recognition performance for non-frontal facial expression recognition. In empirical work, we first design and successfully test a framework for near-frontal expression recognition. The key contributions of the work are both empirical and theoretical. Max-Margin Gaussian Mixture Model LearningĪbstract This work deals with facial expression recognition from various face representations.Committee Member(s)ĭepartment of Study Electrical & Computer Eng Discipline Electrical & Computer Engr Degree Granting Institution University of Illinois at Urbana-Champaign Degree Name Ph.D. Doctoral Committee Chair(s) Huang, Thomas S. Title Image-based facial expression recognition Author(s) Tariq, Usman Date of Publication Director of Research (if dissertation) or Advisor (if thesis) Huang, Thomas S.
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