• DocumentCode
    2576579
  • Title

    An analytical technique for boundary reconstruction in occluded objects

  • Author

    Neu, David J. ; Sinha, Divyendu

  • Author_Institution
    Hilton Systems, Inc., Mount Arlington, NJ, USA
  • fYear
    1991
  • fDate
    13-16 Oct 1991
  • Firstpage
    63
  • Abstract
    A real-valued function which is defined in some closed interval is considered to model the boundary of a physical object. Given such a model, it is assumed that in some subset of the domain the values of the function are not known. This case is considered to represent the physical situation where a section of the object´s boundary is occluded or hidden. The authors present a scheme for reconstructing the occluded boundary of such an object, that is, for identifying the unknown values of the function. The scheme utilizes some analytical properties of the known function values to define a range of possible values for the unknown function values. The scheme is simple, efficient and, in view of the limitations presented by these two characteristics, apparently performs reasonably well
  • Keywords
    pattern recognition; picture processing; boundary reconstruction; model; occluded boundary; occluded objects; pattern recognition; picture processing; real-valued function; Computer science; Databases; Degradation; Impedance; Information analysis; Manufacturing automation; Manufacturing processes; Pattern recognition; Production; Sorting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1991. 'Decision Aiding for Complex Systems, Conference Proceedings., 1991 IEEE International Conference on
  • Conference_Location
    Charlottesville, VA
  • Print_ISBN
    0-7803-0233-8
  • Type

    conf

  • DOI
    10.1109/ICSMC.1991.169662
  • Filename
    169662