• DocumentCode
    3081543
  • Title

    Intelligent autofocus with adaptive depth of field

  • Author

    Pu-Chuan Kang ; Huei-Yung Lin

  • Author_Institution
    Dept. of Electr. Eng., Nat. Chung Cheng Univ., Chiayi, Taiwan
  • fYear
    2015
  • fDate
    18-22 May 2015
  • Firstpage
    463
  • Lastpage
    466
  • Abstract
    In this paper, we propose a technique for multiregion autofocusing. The objective is to make the objects of interest at the different distance locations well focused while maintaining the shallow depth of field. Based on the image sharpness analysis of interested regions, we determine the camera´s best lens position and largest aperture size such that the depth of field encompasses all objects selected by the user. Thus, in addition to emphasize the objects of interest in photography, our method can also reduce the exposure for image stabilization. Experiments with real scene images are presented.
  • Keywords
    cameras; digital photography; focusing; image processing; photography; aperture size; camera best lens position; image sharpness analysis; image stabilization; intelligent autofocus; multiregion autofocusing; photography; Apertures; Digital cameras; Focusing; Image edge detection; Lenses;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Vision Applications (MVA), 2015 14th IAPR International Conference on
  • Conference_Location
    Tokyo
  • Type

    conf

  • DOI
    10.1109/MVA.2015.7153111
  • Filename
    7153111