• DocumentCode
    2193737
  • Title

    Improved Face Model Fitting Using Tensor-Based AAM

  • Author

    Daijin Kim ; Hyung-Soo Lee

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Pohang Univ. of Sci. & Technol., Pohang
  • fYear
    2008
  • fDate
    10-13 July 2008
  • Firstpage
    21
  • Lastpage
    24
  • Abstract
    In this paper, we propose a tensor-based active appearance model (AAM) which improves the fitting performance of conventional AAM. Tensor-based AAM generates the specific AAM basis vectors by indexing the model tensor in terms of the estimated input image variations. Experimental results show that the proposed tensor-based AAM reduces the average fitting error than the conventional AAM significantly.
  • Keywords
    face recognition; image classification; tensors; face model fitting; image variations; tensor-based active appearance model; Active appearance model; Active shape model; Detectors; Face detection; Face recognition; Indexing; Lighting; Object detection; Tensile stress; Vectors; AAM; Tensor-based AAM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous Virtual Reality, 2008. ISUVR 2008. International Symposium on
  • Conference_Location
    Gwangju
  • Print_ISBN
    978-0-7695-3259-2
  • Type

    conf

  • DOI
    10.1109/ISUVR.2008.15
  • Filename
    4568637
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2193737