A Symbolic Representation for 3-D Object Feature Detection

نویسندگان

  • Pamela J. Neal
  • Linda G. Shapiro
چکیده

In this paper we define a spatial symbolic model that can be used to describe classes of 3-D objects (anatomical and man-made) and a method for finding correspondences between the features of the symbolic models and point sets of 3-D mesh data. An abstract symbolic model is used to describe spatial object classes in terms of parts, boundaries, and spatial associations. A working model is a mechanism to link the symbolic model to geometric information found in a sensed instance of the class, represented by a 3D mesh data set. Matching is performed in a three-step procedure that first finds working sets of points in the mesh, then fits constructed features to these sets, and finally selects a subset of these constructed features that best correspond to the features of the working model.

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تاریخ انتشار 2000