• DocumentCode
    2237771
  • Title

    Depth from defocus by changing camera aperture: a spatial domain approach

  • Author

    Surya, Gopal ; Subbarao, Murali

  • Author_Institution
    Dept. of Electr. Eng., State Univ. of New York, Stony Brook, NY, USA
  • fYear
    1993
  • fDate
    15-17 Jun 1993
  • Firstpage
    61
  • Lastpage
    67
  • Abstract
    The application of a new spatial-domain convolution/deconvolution transform (S transform) for determining the distance of objects using image defocus is described. The method, known as STMAP, involves simple local operations on only two images taken with different aperture diameters and can be easily implemented in parallel. Both images can be arbitrarily blurred, and neither of them needs to be a focused image taken with a pin-hole camera. STMAP is implemented on an actual camera system named the Stonybrook Passive Autofocusing and Ranging Camera System (SPARCS). Experimental results on real-world planar objects are presented. The results indicate that STMAP is useful in practical applications. The utility of the method is demonstrated for rapid autofocusing of electronic cameras. STMAP is computationally more efficient than other depth-from-focus methods. The results are comparable to a Fourier-transform-based approach
  • Keywords
    cameras; convolution; deconvolution; distance measurement; image processing; optical self-focusing; transforms; S transform; SPARCS; STMAP; Stonybrook Passive Autofocusing and Ranging Camera System; blurred images; camera aperture changing; depth-from defocus; electronic cameras; image defocus; real-world planar objects; spatial domain approach; spatial-domain convolution/deconvolution transform; Apertures; Cameras; Convolution; Deconvolution; Design for disassembly; Diffraction; Focusing; Fourier transforms; Lenses; Robot vision systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
  • Conference_Location
    New York, NY
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-3880-X
  • Type

    conf

  • DOI
    10.1109/CVPR.1993.340978
  • Filename
    340978