An overview on model-based approaches in face recognition

  • Authors:
  • Omid Khayat;Hamid Reza Shahdoosti;Ahmad Jaberi Motlagh

  • Affiliations:
  • Department of Biomedical Eng., Computer Eng., Amirkabir University;Department of Biomedical Eng., Computer Eng., Amirkabir University;Department of Biomedical Eng., Computer Eng., Amirkabir University

  • Venue:
  • AIKED'08 Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases
  • Year:
  • 2008

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Abstract

In recent years face recognition has received substantial attention from both research communities and the market, but still remained very challenging in real applications. A lot of face recognition algorithms, along with their modifications, have been developed during the past decades. A number of typical algorithms are presented, being categorized into appearance based and model-based schemes. In this paper we expand and describe the Model-Based approaches. The model-based approaches are introduced, including Elastic Bunch Graph matching, Active Appearance Model and 3D Morphable Model methods. A number of face databases available in the public domain and several published performance evaluation results are digested. Future research directions based on the current recognition results are pointed out.