• DocumentCode
    679997
  • Title

    Bringing 3D vision to the web: Acquiring motion parallax using commodity cameras and WebGL

  • Author

    Goorts, Patrik ; Maesen, Steven ; Scarlino, Dimitri ; Bekaert, Philippe

  • Author_Institution
    Expertise Centre for Digital Media, Hasselt Univ. - tUL - iMinds, Diepenbeek, Belgium
  • fYear
    2013
  • fDate
    3-5 Dec. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, we present a system to acquire 3D vision by motion parallax on web-based platforms using head tracking. We employ the camshift algorithm to perform color-based head tracking. Using the position of the head, we can render a 3D scene from the viewpoint of the viewer, thus acquiring motion parallax, a strong cue for 3D vision. We employed web technologies to allow the adoption of our method to any modern device, including mobile devices. WebGL is used for rendering and head tracking, and WebRTC is used for camera input. No software installation or plugins are required. We demonstrated the effectiveness of our method on a variety of devices, such as desktop computers, laptops, and tablets.
  • Keywords
    computer vision; image colour analysis; image motion analysis; object tracking; 3D vision; Web technologies; WebGL; WebRTC; camshift algorithm; color-based head tracking; commodity cameras; motion parallax; Cameras; Face; Image color analysis; Three-dimensional displays; Tracking; Visualization; 3D Vision; Camshift; Head Tracking; Motion Parallax; WebGL; WebRTC;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    3D Imaging (IC3D), 2013 International Conference on
  • Conference_Location
    Lie??ge
  • Type

    conf

  • DOI
    10.1109/IC3D.2013.6732092
  • Filename
    6732092