• DocumentCode
    2495417
  • Title

    Web-based on-line computational stereo vision

  • Author

    Nguyen, M. ; Farb, G. Gimel ; Delmas, P.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Auckland, Auckland
  • fYear
    2008
  • fDate
    26-28 Nov. 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A design of an on-line Java applet that allows the user to upload images being close to a stereo pair and reconstruct a depth map of a depicted 3D scene is described. It is accessible to a wide range of users and can serve as a tool that allows the Internet users to learn and explore the research domain of computational stereo vision. The images are automatically rectified into an epipolar stereo pair after several corresponding points were interactively specified. The rectified pair is converted into an anaglyphic image of the scene, or a dense depth map is reconstructed from this pair using available or even user-submitted stereo algorithms. After the depth map is computed, the user can display arbitrary 3D views of the scene based on the depth and textural information. The implemented Web-community sharing port allows the users to upload and share their own solutions. The current version of this applet is temporarily stored at http://www.cs.auckland.ac.nz/~mngu012.
  • Keywords
    Internet; Java; computer vision; image reconstruction; solid modelling; stereo image processing; 3D scene; Internet; Java applet; anaglyphic image; computational stereo vision; depth map reconstruction; epipolar stereo pair image; online Web application; Computer displays; Computer vision; Image converters; Image reconstruction; Internet; Java; Layout; Stereo image processing; Stereo vision; Three dimensional displays; 3D model; Computational stereo; anaglyph; depth map; on-line web application;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Vision Computing New Zealand, 2008. IVCNZ 2008. 23rd International Conference
  • Conference_Location
    Christchurch
  • Print_ISBN
    978-1-4244-3780-1
  • Electronic_ISBN
    978-1-4244-2583-9
  • Type

    conf

  • DOI
    10.1109/IVCNZ.2008.4762147
  • Filename
    4762147