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Posed Facial Expression Detection Using Reflection Symmetry and Structural Similarity

  • Harish BhaskarEmail author
  • Davide La Torre
  • Mohammed Al-Mualla
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9164)

Abstract

In this paper, a method for the detection of posed facial expressions in still images is proposed. The method exploits a combination of geometrical deviations between sets of landmark points together with the difference in quality of visual appearance of patches around these landmark points for accurate and robust detection of posed facial expressions. First, novel descriptors are derived based on the Hausdorff distances between triangulated landmark point sets within a given image satisfying reflective symmetry constraints. Further, the structural similarity of patches around these point sets that are reflection symmetrical is calculated and fused with the geometric features for classification. Experiments using selected examples from publicly available dataset have demonstrated that the proposed method can sufficiently encapsulate the intensity of a facial expression and thus achieve superior accuracy in the separation of posed from spontaneous expressions.

Keywords

Facial Expression Hausdorff Distance Image Patch Facial Asymmetry Landmark Point 
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 International Publishing Switzerland 2015

Authors and Affiliations

  • Harish Bhaskar
    • 1
    Email author
  • Davide La Torre
    • 2
    • 3
  • Mohammed Al-Mualla
    • 1
  1. 1.Visual Signal Analysis and Processing (VSAP) Research CenterKhalifa University of Science, Technology and ResearchAbu DhabiUAE
  2. 2.Department of Applied Mathematics and SciencesKhalifa University of Science, Technology and ResearchAbu DhabiUAE
  3. 3.Department of Economics, Management and Quantitative MethodsUniversity of MilanMilanItaly

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