• DocumentCode
    1737756
  • Title

    Reconstructing point patterns from incomplete nonmetric representations

  • Author

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

  • Author_Institution
    Coll. of Eng., Tufts Univ., Medford, MA, USA
  • Volume
    4
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    2912
  • Abstract
    A method is developed for reconstructing point patterns using incomplete nonmetric information. This information consists of a rank-order list of interpoint distances for a P-point pattern. Nonmetric, in this context, means that a distance is not designated by its length in units, but simply by its rank in the list, the largest designated as having a rank of one. The list is incomplete because less than the full complement of P(P-1)/2 distances is included. The method builds on an algorithm developed for metric representations, and this algorithm is briefly discussed. Results are presented indicating that while the amount of information required increases as the number of points increases. The percentage of the distances that have to be ranked decreases
  • Keywords
    pattern recognition; P-point pattern; incomplete nonmetric representations; interpoint distances; point pattern reconstruction; rank-order list; Educational institutions; Image reconstruction; Pattern recognition; Reflection; Rotation measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 2000 IEEE International Conference on
  • Conference_Location
    Nashville, TN
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-6583-6
  • Type

    conf

  • DOI
    10.1109/ICSMC.2000.884442
  • Filename
    884442