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Analysis of HOG Suitability for Facial Traits Description in FER Problems

  • Marco Del CocoEmail author
  • Pierluigi Carcagnì
  • Giuseppe Palestra
  • Marco Leo
  • Cosimo Distante
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9280)

Abstract

Automatic Facial Expression Recognition is a topic of high interest especially due to the growing diffusion of assistive computing applications, as Human Robot Interaction, where a robust awareness of the people emotion is a key point. This paper proposes a novel automatic pipeline for facial expression recognition based on the analysis of the gradients distribution, on a single image, in order to characterize the face deformation in different expressions. Firstly, an accurate investigation of optimal HOG parameters has been done. Successively, a wide experimental session has been performed demonstrating the higher detection rate with respect to other State-of-the-Art methods. Moreover, an on-line testing session has been added in order to prove the robustness of our approach in real environments.

Keywords

Facial expression recognition HOG SVM 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Marco Del Coco
    • 1
    Email author
  • Pierluigi Carcagnì
    • 1
  • Giuseppe Palestra
    • 2
  • Marco Leo
    • 1
  • Cosimo Distante
    • 1
  1. 1.National Research Council - National Institute of OpticsArnesanoItaly
  2. 2.Department of Computer ScienceUniversity of BariBariItaly

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