• DocumentCode
    461938
  • Title

    3D Face Recognition with Region Committee Voting

  • Author

    Faltemier, Timothy ; Bowyer, Kevin ; Flynn, Patrick

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of Notre Dame, Notre Dame, IN
  • fYear
    2006
  • fDate
    14-16 June 2006
  • Firstpage
    318
  • Lastpage
    325
  • Abstract
    In this paper, we introduce a new system for face recognition by matching 3D face shape. This algorithm selects multiple regions of the face for matching in an attempt to reduce the effects caused by variations in expression between gallery and probe images. Experimental results are reported using the Face Recognition Grand Challenge v2.0 data set. Our results demonstrate improved performance relative to those of four previous papers using this same data set.
  • Keywords
    face recognition; image matching; 3D face recognition; 3D face shape matching; Face Recognition Grand Challenge v2.0 data set; region committee voting; Computer science; Face recognition; Image coding; Image recognition; Iterative closest point algorithm; Nose; Probes; Shape; Testing; Voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    3D Data Processing, Visualization, and Transmission, Third International Symposium on
  • Conference_Location
    Chapel Hill, NC
  • Print_ISBN
    0-7695-2825-2
  • Type

    conf

  • DOI
    10.1109/3DPVT.2006.3
  • Filename
    4155743