• DocumentCode
    431423
  • Title

    A Methodology for Evaluating Robustness of Face Recognition Algorithms with Respect to Variations in Pose Angle and Illumination Angle

  • Author

    Little, Greg ; Krishna, Sreekar ; Black, John ; Panchanathan, Sethuraman

  • Author_Institution
    Center for Cognitive Ubiquitous Comput., Arizona State Univ., Tempe, AZ, USA
  • Volume
    2
  • fYear
    2005
  • fDate
    March 18-23, 2005
  • Firstpage
    89
  • Lastpage
    92
  • Keywords
    Bayes methods; face recognition; hidden Markov models; image classification; principal component analysis; BIC; Bayesian intra-personal classifier; HMM; LDA; PCA; face recognition algorithm robustness; hidden Markov models; illumination angle variations; linear discriminant analysis; pose angle variations; principle component analysis; probabilistic learning methods; robustness measure; subspace analysis methods; Algorithm design and analysis; Face recognition; Hidden Markov models; Image databases; Image recognition; Learning systems; Lighting; Linear discriminant analysis; Robustness; Ubiquitous computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-8874-7
  • Type

    conf

  • DOI
    10.1109/ICASSP.2005.1415348
  • Filename
    1415348
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=431423