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PAD Model Based Facial Expression Analysis

  • Jie Cao
  • Hong Wang
  • Po Hu
  • Junwei Miao
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5359)

Abstract

The validity of PAD (Pleasure-Arousal-Dominance) theory in vision area and the feasibilityT on PAD based models for facial expression analysis are discussed in this paper. Three new models based on PAD theory are proposed and their feasibility is verified by experiments on Cohn-Kanade dataset and PAD dataset which is collected from well-designed psychological experiments. After combining Gabor feature and SVM (Support Vector Machine), the result can be further improved. Compared with the basic expression models, our experiments show that the predominance of PAD based model is that it can represent almost any states of expression. Finally, our preliminary experiments show that distinguishing different grades of the same expression is promising by our models.

Keywords

Support Vector Machine Facial Expression Face Image Local Binary Pattern Vision Area 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Jie Cao
    • 1
  • Hong Wang
    • 1
  • Po Hu
    • 1
  • Junwei Miao
    • 1
  1. 1.State Key Laboratory of Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology Department of Computer Science and TechnologyTsinghua UniversityBeijingChina

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