• DocumentCode
    2638039
  • Title

    On 3D shape similarity

  • Author

    Shum, Heung-Yeung ; Hebert, Martial ; Ikeuchi, Katsushi

  • Author_Institution
    Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    1996
  • fDate
    18-20 Jun 1996
  • Firstpage
    526
  • Lastpage
    531
  • Abstract
    This paper addresses the problem of 3D shape similarity between closed surfaces. A curved or polyhedral 3D object of genus zero is represented by a mesh that has nearly uniform distribution with known connectivity among mesh nodes. A shape similarity metric is defined based on the L2 distance between the local curvature distributions over the mesh representations of the two objects. For both convex and concave objects, the shape metric can be computed in time O(n 2), where n is the number of tessellations of the sphere or the number of meshes which approximate the surface. Experiments show that our method produces good shape similarity measurements
  • Keywords
    computer vision; object recognition; 3D shape similarity; L2 distance; closed surfaces; concave objects; genus zero; local curvature distributions; mesh nodes; mesh representations; polyhedral 3D object; shape metric; shape similarity measurements; shape similarity metric; Computer vision; Humans; Image sensors; Layout; Object recognition; Pattern matching; Robots; Shape measurement; Stereo vision; Turning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1996. Proceedings CVPR '96, 1996 IEEE Computer Society Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-7259-5
  • Type

    conf

  • DOI
    10.1109/CVPR.1996.517122
  • Filename
    517122