• DocumentCode
    2572600
  • Title

    Construction of a 3D Model of Real-world Object Using Range Intensity Images

  • Author

    Kusanagi, Masato ; Terabayashi, Kenji ; Umeda, Kazunori ; Godin, Guy ; Rioux, Marc

  • Author_Institution
    Dept. Precision Mech., Chuo Univ., Tokyo, Japan
  • fYear
    2010
  • fDate
    May 31 2010-June 2 2010
  • Firstpage
    317
  • Lastpage
    323
  • Abstract
    Texture mapping is useful for constructing a three-dimensional (3D) model because a realistic 3D model can be obtained efficiently and quickly. This paper proposes a system to construct a 3D model using range intensity images. A range intensity image, which is also called a reflectance image, refers to the intensity image that is acquired simultaneously with the range image captured using an active range sensor. Such an image has an important property in which illumination conditions, such as geometrical arrangement and power of illumination, can be controlled at the capture time, which allows the estimation of the reflectance properties of the object. Several methods using range intensity images are improved and combined to construct an effective system, the registration of range images and color images is realized, an omni directional geometric model is constructed by registering and integrating multiple range images with range intensity images, and the influence of the illumination environment that occurs in color images is removed. In addition, a method to estimate the illumination color is introduced to compensate for the color of illumination light. Experiments show the effectiveness of the constructed system for obtaining a realistic 3D model.
  • Keywords
    computer aided analysis; image colour analysis; image registration; image texture; active range sensor; color images; omnidirectional geometric model; range images registration; range intensity images; real world object 3D model; reflectance image; texture mapping; Cameras; Color; Computer vision; Geometrical optics; Image sensors; Lighting; Optical sensors; Reflectivity; Robot vision systems; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Robot Vision (CRV), 2010 Canadian Conference on
  • Conference_Location
    Ottawa, ON
  • Print_ISBN
    978-1-4244-6963-5
  • Type

    conf

  • DOI
    10.1109/CRV.2010.48
  • Filename
    5479171