• DocumentCode
    3079313
  • Title

    Facial expression detection

  • Author

    Matre, G.N. ; Shah, Shridhar K.

  • Author_Institution
    Dept. of E&TC, Univ. of Pune, Pune, India
  • fYear
    2013
  • fDate
    26-28 Dec. 2013
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Due to globalization and digital divide facial expression detection has received the primary attention in order to identify the criminals and breaches. Facial expressions are the changes occurring on the human face indicating a person´s internal emotional states, intents or societal communications. Depending on the expressions on the face, human face is the most principal mode of conveying and deducing affective states of human ones. In real time, facial expression detection has become a prominent research area as it plays an important role in Human Computer Interaction. The applications of the facial expression detection are computer vision, biometric security, social interaction, emotional intelligence and social intelligence. This paper focuses a brief survey about various techniques used in facial expression detection and their respective pros and cons.
  • Keywords
    computer vision; face recognition; human computer interaction; biometric security; computer vision; emotional intelligence; facial expression detection; human computer interaction; human face; person internal emotional states; social intelligence; social interaction; societal communications; Face; Face recognition; Gabor filters; Image color analysis; Lighting; Principal component analysis; Tensile stress; Biometric Security; Facial Expression; Tensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Computing Research (ICCIC), 2013 IEEE International Conference on
  • Conference_Location
    Enathi
  • Print_ISBN
    978-1-4799-1594-1
  • Type

    conf

  • DOI
    10.1109/ICCIC.2013.6724242
  • Filename
    6724242