• DocumentCode
    3366853
  • Title

    3D shape recovery by image focus using Lorentzian-Cauchy function

  • Author

    Muhammad, Mannan Saeed ; Choi, Tae-Sun

  • Author_Institution
    Sch. of Inf. & Mechatron., Gwangju Inst. of Sci. & Technol., Gwangju, South Korea
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    4065
  • Lastpage
    4068
  • Abstract
    In the past recent years, shape recovery using image focus has been investigated a lot. Traditionally, generalized Gaussian models are used to approximate the focus curves obtained after applying the focus measure. In this paper, we have proposed a new approximation model for the focus curve, using Lorentzian-Cauchy function. The focusing of light rays, by the imaging device, are approximated by using a Gaussian beam, which has the intensity profile along the propagation axis defined by Lorentzian-Cauchy function. Experiments performed on the simulated and real objects have shown the effectiveness of the proposed scheme.
  • Keywords
    Gaussian processes; approximation theory; image motion analysis; image reconstruction; shape recognition; 3D shape recovery; Gaussian beam; Lorentzian-Cauchy function; approximation model; focus curve; image focus; light rays; Accuracy; Approximation methods; Computational modeling; Correlation; Optical diffraction; Optical imaging; Shape; 3D shape recovery; Lorentzian-Cauchy function; Shape; Shape from Focus;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5653557
  • Filename
    5653557