• DocumentCode
    2383397
  • Title

    Depth image based analysis of facial expressions and head orientation

  • Author

    Isezaki, Takashi ; Suzuki, Kenji

  • Author_Institution
    Dept. of Intell. Interaction Technol., Univ. of Tsukuba, Tsukuba, Japan
  • fYear
    2011
  • fDate
    9-12 Oct. 2011
  • Firstpage
    2537
  • Lastpage
    2542
  • Abstract
    In this paper, we propose a method of spatial and time-series analysis of facial expressions using a real-time depth image, particularly for the measurement of head orientation and for the dynamic analysis of facial expression. The method is based on an evaluation of the 3-dimensional shape of the face and is able to assess facial expressions, independent of the orientation of the head. It aims to extract psychological and physiological features from the physical features of the face´s shape. This research focuses on the characteristics of transitions detected during changes of facial expression, particularly using dynamical spatial and time-series analysis. This paper describes the development of the sensing system, the experimental results of head orientation measurements, and the results of facial expression analysis.
  • Keywords
    emotion recognition; face recognition; feature extraction; psychology; stereo image processing; time series; 3D face shape; depth image based analysis; facial expression dynamic analysis; head orientation; physical features; physiological feature extraction; psychological feature extraction; sensing system; spatial analysis; time-series analysis; transition detection; Face; Feature extraction; Nose; Position measurement; Shape; 3-dimensional Face Shape; Depth Image; Facial Expression; Head Orientation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4577-0652-3
  • Type

    conf

  • DOI
    10.1109/ICSMC.2011.6084058
  • Filename
    6084058