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
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