• DocumentCode
    2646995
  • Title

    A new fast and accurate training-based auto-focus for mobile-phone cameras

  • Author

    Lee, Seung-Yong ; Lee, Hyo-Tae ; Lee, Il-Yong ; Han, Jong-Woo ; Ko, Sung-Jea

  • Author_Institution
    Sch. of Electr. Eng., Korea Univ., Seoul, South Korea
  • fYear
    2011
  • fDate
    9-12 Jan. 2011
  • Firstpage
    95
  • Lastpage
    96
  • Abstract
    In this paper, we propose a fast and accurate auto-focusing method for mobile phone cameras. The proposed method first extracts a feature vector consisting of the focus value increment ratios at the predefined lens positions. Then, the best in-focus lens position is estimated by comparing the input feature vector and the training database. Experimental results show that the proposed method is superior to the conventional methods in terms of the searching speed.
  • Keywords
    cameras; feature extraction; mobile handsets; optical focusing; feature vector extraction; focus value increment ratio; in-focus lens position; mobile phone cameras; training-based auto-focus; Cameras; Databases; Feature extraction; Lenses; Sensors; Support vector machine classification; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (ICCE), 2011 IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    2158-3994
  • Print_ISBN
    978-1-4244-8711-0
  • Type

    conf

  • DOI
    10.1109/ICCE.2011.5722939
  • Filename
    5722939