• DocumentCode
    2304867
  • Title

    Determining the similarity of point patterns using internal, nonmetric representations: preliminary results

  • Author

    Kreifeldt, John G. ; Levine, Stephen H. ; Nah, Keoun ; Liu, Lin

  • Author_Institution
    Dept. of Mech. Eng., Tufts Univ., Medford, MA, USA
  • Volume
    5
  • fYear
    1998
  • fDate
    11-14 Oct 1998
  • Firstpage
    4492
  • Abstract
    Point patterns can be represented by rank ordered lists of interpoint distances. This use of ordinal (i.e. nonmetric) information, combined with the independence of the representation from any coordinate system, means that the resulting representation, and reconstruction as well, is indifferent to scale, translation, rotation, and reflection. This paper focuses on establishing a measure of similarity between non-identical patterns of P points. In doing so, it considers two cases. The first, and simpler, includes an a priori specification of the point correspondences between the two patterns; in the second no such a priori specification is made and it thus requires first determining the best assignment of point correspondences
  • Keywords
    image reconstruction; image representation; pattern recognition; interpoint distances; point correspondences; point patterns; rank ordered lists; reconstruction; representation; Educational institutions; Mean square error methods; Mechanical engineering; Multidimensional systems; Reflection; Stress measurement; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-4778-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1998.727558
  • Filename
    727558