• DocumentCode
    2091078
  • Title

    Depth from magnification and blurring

  • Author

    Lee, Sukhan ; Ahn, Sang Chul ; Meyyappan, Ashok

  • Author_Institution
    Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
  • Volume
    1
  • fYear
    1997
  • fDate
    20-25 Apr 1997
  • Firstpage
    137
  • Abstract
    A new method of constructing 3D maps based on the relative magnification and blurring of a pair of images is presented, where the images are taken at two camera positions of a small displacement. The method, referred to as depth from magnification and blurring, aims at generating a precise 3D map of local scenes or objects to be manipulated by a robot arm with a hand-eye camera. The method uses a single standard camera with telecentric lens, and assumes neither active illumination nor active control of camera parameters. The proposed depth extraction algorithm is simple in computation. Fusing the two disparate sources of depth information, magnification and blurring, the proposed method provides more accurate and robust depth estimation. Experimental results demonstrate the effectiveness of the proposed method
  • Keywords
    cameras; image matching; image sequences; manipulators; robot vision; 3D maps; active control; active illumination; camera positions; computation; depth estimation; depth extraction algorithm; depth from blurring; depth from magnification; displacement; experimental results; hand-eye camera; local scenes; robot arm; robot vision; telecentric lens; three dimensional maps; Apertures; Cameras; Costs; Deconvolution; Focusing; Laser radar; Layout; Lenses; Robot vision systems; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1997. Proceedings., 1997 IEEE International Conference on
  • Conference_Location
    Albuquerque, NM
  • Print_ISBN
    0-7803-3612-7
  • Type

    conf

  • DOI
    10.1109/ROBOT.1997.620028
  • Filename
    620028