• DocumentCode
    1868476
  • Title

    Affects of illumination on 3D shape recovery

  • Author

    Mannan, Mannan S. ; Malik, Aamir S. ; Choi, Tae-Sun

  • Author_Institution
    Dept. of Mechatron., Gwangju Inst. of Sci. & Technol., Gwangju
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    1496
  • Lastpage
    1499
  • Abstract
    In the area of machine vision, shadows occur frequently in a wide variety of scenes. An inherent weakness of focus-based methods is that they require the imaged scene to have significant texture. In many real-world applications, surfaces can be smoothly shaded and lacking in detectable texture. In such cases, shape-form-focus (SFF) generates inaccurate and sparse depth maps. For accurate calculation of depth map, we consider the affects of illumination. In SFF the images are taken with one light source and the shadows occur in each frame. Thus, the more bright regions of the images give more accurate depth map, whereas, the less bright regions give less accurate depth map. We have also shown the results and compared them with the previous results. From simulation results we see that the results improved with the proposed algorithm.
  • Keywords
    computer vision; image restoration; image texture; shape recognition; 3D shape recovery; illumination effects; machine vision; shape-form-focus; sparse depth maps; Cameras; Focusing; Image reconstruction; Laplace equations; Layout; Light sources; Lighting; Neural networks; Shape measurement; Surface texture; 3D Shape Recovery; Depth Estimation; Illumination; Shadows; Shape-From-Focus;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1765-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2008.4712050
  • Filename
    4712050