• DocumentCode
    1807104
  • Title

    Improved PCA facial recognition with bootstrap and data standardization in small sample case

  • Author

    Wang, Shun-Fang ; Ku, Fu-Lai ; Zhang, Huai-Xiong

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Yunnan Univ., Kunming, China
  • Volume
    4
  • fYear
    2011
  • fDate
    24-26 Dec. 2011
  • Firstpage
    2618
  • Lastpage
    2622
  • Abstract
    Based on the traditional principal component analysis (PCA) in facial recognition, first this paper proposes an bootstrap resampling method in PCA to overcome the small sample problem in the process of data mean centering. Second this paper uses the data standardization to improve the mean centering process. Experiments suggest that the proposed method is much better than the traditional PCA in facial recognition.
  • Keywords
    data handling; face recognition; principal component analysis; PCA facial recognition; bootstrap resampling method; bootstrap standardization; data mean centering; data standardization; principal component analysis; small sample case; Artificial neural networks; Standardization; PCA; bootstrap; facial recognition; facial reconstruction; standardization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2011 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4577-1586-0
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2011.6182504
  • Filename
    6182504
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1807104