• DocumentCode
    2917120
  • Title

    Auto-focusing technique in a projector-camera system

  • Author

    Quang, Lam Bui ; Kim, Daesik ; Lee, Sukhan

  • Author_Institution
    Intell. Syst. Res. Center, Sungkyunkwan Univ., Suwon
  • fYear
    2008
  • fDate
    17-20 Dec. 2008
  • Firstpage
    1914
  • Lastpage
    1919
  • Abstract
    Projector-camera system has been researched for years and it has become more and more popular in 3D vision and many other applications. However, with pre-determined position of projector´s lens, projector based researches were not able to deal with the scenes that have objects with different distances from the projector. In this paper, we present a projector autofocusing technique based on local blur information of the image that can overcome above limitation. The algorithm is implemented on projector-camera system, in order to focus the pattern which is projected by projector on all objects in the scene sequentially. The proposed algorithm first obtains a blur-map of the scene on the image by using a robust local blur estimator, and then the region of interest is decided by thresholding the obtained blur-map. Since the main light source is provided by projector, the proposed auto-focusing algorithm achieves a good performance with different light conditions.
  • Keywords
    cameras; focusing; image resolution; 3D vision; autofocusing technique; local blur information; projector-camera system; region of interest; robust local blur estimator; Automatic control; Cameras; Control systems; Focusing; Infrared sensors; Intelligent robots; Layout; Lenses; Robot control; Robotics and automation; auto-focusing; blur estimation; blur-map; projector-camera;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation, Robotics and Vision, 2008. ICARCV 2008. 10th International Conference on
  • Conference_Location
    Hanoi
  • Print_ISBN
    978-1-4244-2286-9
  • Electronic_ISBN
    978-1-4244-2287-6
  • Type

    conf

  • DOI
    10.1109/ICARCV.2008.4795821
  • Filename
    4795821