• DocumentCode
    3095085
  • Title

    A research of face feature extraction based on MB-LBP

  • Author

    Zhijuan, Jia ; Chensheng, Wang ; Guang, Yang ; Wenji, Ma

  • Author_Institution
    Autom. Sch., Beijing Univ. of Posts & Telecommun., Beijing, China
  • Volume
    3
  • fYear
    2011
  • fDate
    8-9 Sept. 2011
  • Firstpage
    69
  • Lastpage
    72
  • Abstract
    The technology of face recognition is a well-known subject. This paper presents a face feature extraction method based on MB-LBP. In this method, by means of pre-locating the feature points, a Multi-Block Local Binary Pattern (MB-LBP) is intensively studied and related algorithm implemented. The proposed method is then tested by using Yale face database, and how MB-LBP scale (or size of training set) influences on the face recognition results is explored. Evaluation results confirm that the implemented algorithm is both valid and effective under certain conditions.
  • Keywords
    face recognition; feature extraction; visual databases; MB-LBP; Yale face database; face feature extraction; face recognition; multi-block local binary pattern; Data mining; Databases; Educational institutions; Face; Face recognition; Feature extraction; Training; Face Detection; Multi-Block Local Binary Pattern (MB-LBP); feature extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering and Automation Conference (PEAM), 2011 IEEE
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9691-4
  • Type

    conf

  • DOI
    10.1109/PEAM.2011.6135017
  • Filename
    6135017
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3095085