• DocumentCode
    3422572
  • Title

    Human facial expression mining based on cloud model

  • Author

    Wang, Shuliang ; Chi, Hehua ; Feng, Xiao ; Yin, Jinfei

  • Author_Institution
    Int. Sch. of Software, Wuhan Univ., Wuhan, China
  • fYear
    2009
  • fDate
    17-19 Aug. 2009
  • Firstpage
    557
  • Lastpage
    560
  • Abstract
    In order to make the human facial expression recognition and analysis effectively, cloud model is used to mine the knowledge of human facial expression in this paper. Backward cloud generator without certainty degree treats the original input image as a cloud droplet image. The outputs are used to describe the three numerical characteristics-(Ex, En, He). How the three numerical characteristics of the cloud model (Ex, En, He) to embody the knowledge of facial expression? With two different sets of original images, two experiments are made to explain the specific meaning of the three numerical characteristics (Ex, En, He). Under the experiments, the profound knowledge may be extracted on the facial expression, i.e. Ex is the common of standard face, En is the difference, and He is the range of the difference.
  • Keywords
    data mining; face recognition; numerical analysis; backward cloud generator; cloud droplet image; human facial expression mining; human facial expression recognition; numerical characteristics; Clouds; Electronic mail; Entropy; Face recognition; Helium; Humans; Mathematical model; Measurement uncertainty; Shape; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing, 2009, GRC '09. IEEE International Conference on
  • Conference_Location
    Nanchang
  • Print_ISBN
    978-1-4244-4830-2
  • Type

    conf

  • DOI
    10.1109/GRC.2009.5255059
  • Filename
    5255059