Paper
15 August 1989 A New Paradigm For Testing Human And Machine Motion Perception
Thomas V. Papathomas, Andrei Gorea
Author Affiliations +
Abstract
We present a new paradigm for studying motion perception. This approach is based on a class of stimuli that we devised for testing the relative strength of stimulus attributes (luminance, color, spatial frequency, orientation, binocular disparity, etc.) in eliciting motion perception by correspondence matching. In this class of stimuli, different attributes are matched simultaneously in the spatio-temporal domain in a systematic, algorithmic manner which allows each attribute to produce motion in an arbitrary direction (if, of course, it is a token for movement perception), independently of the other attributes. This results in animation sequences in which many different motion paths may co-exist, each path due to a different attribute. Such an arrangement allows a direct comparison of the strength of attributes in eliciting movement. Results from psychophysical experiments based on our paradigm can be used to develop complex motion detection models for machine vision systems which attempt to approximate human performance. Similar methods are discussed for studying stereopsis mechanisms.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas V. Papathomas and Andrei Gorea "A New Paradigm For Testing Human And Machine Motion Perception", Proc. SPIE 1077, Human Vision, Visual Processing, and Digital Display, (15 August 1989); https://doi.org/10.1117/12.952726
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Motion models

Spatial frequencies

Motion detection

Visualization

Animal model studies

Human vision and color perception

Sensors

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