• DocumentCode
    2459608
  • Title

    Exploiting Occluding Contours for Real-Time 3D Tracking: A Unified Approach

  • Author

    Li, Gang ; Tsin, Yanghai ; Genc, Yakup

  • Author_Institution
    Siemens Corp. Res., Princeton
  • fYear
    2007
  • fDate
    14-21 Oct. 2007
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Model-based 3D object tracking is fast and robust using 3D edges. However, traditional edge-based approaches have difficulty handling occluding contours of curved surfaces, since they are not static model edges but change with the viewpoint. In this paper we propose a unified approach to edge-based tracking where 3D edges including occluding contours are utilized. This is achieved through an analysis of local surface differential geometry, which provides the foundation for incorporating occluding contours of curved surfaces into edge-based tracking. This approach uses a simple parametrization of both types of model edges within the same framework. The proposed method has been tested within the context of an existing edge-based tracking system. The system can track both types of model edges in a very fast and robust manner. Experimental results on both synthetic and real scenes are provided, which confirm that occluding contours improve real-time 3D tracking performance.
  • Keywords
    computational geometry; curve fitting; differential geometry; edge detection; object detection; optical tracking; contour occlusion; curved surface; edge-based tracking system; local surface differential geometry; model-based 3D object tracking; Augmented reality; Cameras; Geometry; Image edge detection; Layout; Rendering (computer graphics); Robotic assembly; Robustness; System testing; Visual servoing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on
  • Conference_Location
    Rio de Janeiro
  • ISSN
    1550-5499
  • Print_ISBN
    978-1-4244-1630-1
  • Electronic_ISBN
    1550-5499
  • Type

    conf

  • DOI
    10.1109/ICCV.2007.4408953
  • Filename
    4408953