• DocumentCode
    863522
  • Title

    On the Dimensionality of Face Space

  • Author

    Meytlis, Marsha ; Sirovich, Lawrence

  • Author_Institution
    Mount Sinai Sch. of Med., New York
  • Volume
    29
  • Issue
    7
  • fYear
    2007
  • fDate
    7/1/2007 12:00:00 AM
  • Firstpage
    1262
  • Lastpage
    1267
  • Abstract
    The dimensionality of face space is measured objectively in a psychophysical study. Within this framework, we obtain a measurement of the dimension for the human visual system. Using an eigenface basis, evidence is presented that talented human observers are able to identify familiar faces that lie in a space of roughly 100 dimensions and the average observer requires a space of between 100 and 200 dimensions. This is below most current estimates. It is further argued that these estimates give an upper bound for face space dimension and this might be lowered by better constructed "eigenfaces" and by talented observers.
  • Keywords
    face recognition; image classification; statistical analysis; visual perception; eigenface; face classification; face recognition problem; face space dimensionality measure; familiar face identification; human visual system; talented human observers; Databases; Eigenvalues and eigenfunctions; Extraterrestrial measurements; Face detection; Face recognition; Humans; Image recognition; Psychology; Testing; Visual system; Face and gesture recognition; computational models of vision; psychology; singular value decomposition.; Algorithms; Artificial Intelligence; Biometry; Face; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.2007.1033
  • Filename
    4204167