Papers that
reference this paper.
Model of human visual-motion sensing
Andrew B. Watson
& A. J. Ahumada Jr.
(1985)
Journal of the Optical Society of America A 2(2), 322-342.
Acrobat Version
Abstract
We propose a model of how humans sense the velocity of moving images.
The model exploits constraints provided by human psychphysics, notably
that motion-sensing elements appear tuned for two-dimensional spatial
frequency, and by the frequency spectrum of a moving image, namely, that its
support lies in the plane in which the temporal frequency equals the dot product
of the spatial frequency and the image velocity.
The first stage of the model is a set of spatial-frequency-tuned,
direction-selective linear sensors.
The temporal frequency of the response of each sensor is shown to encode the
component of the image velocity in the sensor direction.
At the second stage, these components are resolved in order to measure the
velocity of image motion at each of a number of spatial locations and spatial
frequencies.
The model has been applied to several illustrative examples, including apparent
motion, coherent gratings, and natural image sequences.
The model agrees qualitatively with human perception.