• DocumentCode
    2560703
  • Title

    Analytic solution of stochastic completion fields

  • Author

    Thornber, K.K. ; Williams, L.R.

  • Author_Institution
    NEC Res. Inst., Princeton, NJ, USA
  • fYear
    1995
  • fDate
    21-23 Nov 1995
  • Firstpage
    617
  • Lastpage
    622
  • Abstract
    Uses generalized particle trajectories to derive an analytic expression characterizing the probability distribution of boundary-completion shape. This is essential to the understanding of the perceptual phenomenon of illusory (subjective) contours. The particles´ dynamics include Poisson-distributed ensembles of driving forces as well as particle decay. The resulting field, representing completed surface boundaries, is characterized by the fraction of particles at x with velocity x˙. The distributions are projectively covariant in the sense that fields calculated in any lower-dimensional projection correspond to the projections of fields calculated in any higher dimension. Being analytic, the relationship between velocity, diffusivity, and decay can be made readily apparent
  • Keywords
    Monte Carlo methods; computer vision; integration; probability; stochastic processes; Poisson-distributed ensembles; boundary-completion shape; driving forces; generalized particle trajectories; illusory contours; particle decay; probability distribution; stochastic completion fields; Analysis of variance; Computer vision; Distributed computing; Humans; Jacobian matrices; National electric code; Probability distribution; Psychology; Shape; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, 1995. Proceedings., International Symposium on
  • Conference_Location
    Coral Gables, FL
  • Print_ISBN
    0-8186-7190-4
  • Type

    conf

  • DOI
    10.1109/ISCV.1995.477070
  • Filename
    477070