• DocumentCode
    298392
  • Title

    Perception at equiluminance: an adaptive model of motion metamers

  • Author

    Zimmerman, G. Lee

  • Author_Institution
    Dept. of Electr. Eng., Tulane Univ., New Orleans, LA, USA
  • Volume
    1
  • fYear
    1994
  • fDate
    3-5 Aug 1994
  • Firstpage
    577
  • Abstract
    When the perceived intensities of a moving color pattern are equalized the pattern will seem to slow down or stop moving. This situation creates motion metamers-two different motions can be perceived as equivalent. Motion metamers present a very difficult problem for classical models of machine motion perception. In this paper we present an adaptive filter model of motion interpretation which describes human motion perception performance at equiluminance. This model strongly suggests that the interaction between the pathways is defined by a specific structure and the learning parameter between the pathways are different. This result makes several predictions about the human motion processing and places some performance limits on machine vision models
  • Keywords
    adaptive filters; brightness; computer vision; learning (artificial intelligence); motion estimation; adaptive model; equiluminance; human motion perception performance; learning parameter; machine motion perception; machine vision models; motion metamers; moving color pattern; perceived intensities; performance limits; Adaptive filters; Biological system modeling; Biology computing; Eyes; Humans; Image resolution; Joining processes; Layout; Machine vision; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on
  • Conference_Location
    Lafayette, LA
  • Print_ISBN
    0-7803-2428-5
  • Type

    conf

  • DOI
    10.1109/MWSCAS.1994.519304
  • Filename
    519304