• DocumentCode
    2078702
  • Title

    The extruded generalized cylinder: a deformable model for object recovery

  • Author

    O´Donnell, Thomas ; Boult, Terrence E. ; Fang, Xi-Sheng ; Gupta, Alok

  • Author_Institution
    Dept. of Comput. Sci., Columbia Univ., New York, NY, USA
  • fYear
    1994
  • fDate
    21-23 Jun 1994
  • Firstpage
    174
  • Lastpage
    181
  • Abstract
    There is increasing interest in the recovery of generalized cylinders (GCs) with curved spines. However, existing formulations of such GCs, for example those based an the Frenet-Serret frame or the tube model, suffer serious drawbacks: discontinuities, a lack of expressive power, ”narrowing” in the plane normal to the spine, non-intuitive twisting behavior, and/or off-axis nonorthogonality of their local coordinate systems. We discuss some of the problems associated with the non-orthogonality of the coordinate system based on the Frenet-Serret frame. This non-orthogonality is induced by torsion effects and we show how to correct for it. We then introduce a new model, the extruded GC (EGC) model, which overcomes all the problems mentioned above. For complex axes, the EGC model is also simpler to understand and use than existing models. The EGC model is further extended by including local surface deformations. Recovery of the deformable EGC via a physically-motivated paradigm is demonstrated on pre-segmented data from a human carotid artery
  • Keywords
    computational geometry; computer vision; EGC model; Frenet-Serret frame; GCs; curved spines; deformable model; expressive power; extruded GC; extruded generalized cylinder; human carotid artery; local coordinate systems; local surface deformations; non-intuitive twisting behavior; object recovery; off-axis nonorthogonality; physically-motivated paradigm; pre-segmented data; torsion effects; tube model; Computational geometry; Machine vision; Object recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1994. Proceedings CVPR '94., 1994 IEEE Computer Society Conference on
  • Conference_Location
    Seattle, WA
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-5825-8
  • Type

    conf

  • DOI
    10.1109/CVPR.1994.323826
  • Filename
    323826