• DocumentCode
    3464461
  • Title

    Recovering 3D Shape of Weak Textured Surfaces

  • Author

    Muhammad, Mannan Saeed ; Mutahira, Husna ; Majid, A. ; Choi, Tae-Sun

  • Author_Institution
    Signal & Image Process. Lab., Gwangju Inst. of Sci. & Technol., Gwangju, South Korea
  • fYear
    2009
  • fDate
    June 29 2009-July 2 2009
  • Firstpage
    191
  • Lastpage
    197
  • Abstract
    3D shape recovery of the object from its 2D images based on image focus has been an important field of research. Shape from focus (SFF) is one of the passive methods to recover the shape of the object. Mostly,existing approaches work well with dense textured objects; however, they cannot compute depth of weak textured scenes with great precision. In this paper, we propose a new SFF algorithm which improves there covered shape of weak textured objects. The proposed method is experimented and its performance is tested using different image sequences of synthetic and real objects with varying texture. The proposed approach provides better results as compared to previous approaches.
  • Keywords
    image texture; shape recognition; solid modelling; 3D shape recovery; image focus; shape from focus method; weak textured surface computation; Cameras; Focusing; Image sequences; Laplace equations; Layout; Lenses; Optical noise; Shape measurement; Signal processing; Surface texture; 3D shape recovery; Shape from Focus; texture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Its Applications, 2009. ICCSA '09. International Conference on
  • Conference_Location
    Yongin
  • Print_ISBN
    978-0-7695-3701-6
  • Type

    conf

  • DOI
    10.1109/ICCSA.2009.25
  • Filename
    5260924