Optical flow using spatiotemporal filters

David J. Heeger

doi:10.1007/BF00133568

Optical flow using spatiotemporal filters

Research output: Contribution to journal › Article › peer-review

Abstract

A model is presented, consonant with current views regarding the neurophysiology and psychophysics of motion perception, that combines the outputs of a set of spatiotemporal motion-energy filters to estimate image velocity. A parallel implementation computes a distributed representation of image velocity. A measure of image-flow uncertainty is formulated; preliminary results indicate that this uncertainty measure may be used to recognize ambiguity due to the aperture problem. The model appears to deal with the aperture problem as well as the human visual system since it extracts the correct velocity for some patterns that have large differences in contrast at different spatial orientations.

Original language	English (US)
Pages (from-to)	279-302
Number of pages	24
Journal	International Journal of Computer Vision
Volume	1
Issue number	4
DOIs	https://doi.org/10.1007/BF00133568
State	Published - Jan 1988

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition
Artificial Intelligence

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10.1007/BF00133568

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abstract = "A model is presented, consonant with current views regarding the neurophysiology and psychophysics of motion perception, that combines the outputs of a set of spatiotemporal motion-energy filters to estimate image velocity. A parallel implementation computes a distributed representation of image velocity. A measure of image-flow uncertainty is formulated; preliminary results indicate that this uncertainty measure may be used to recognize ambiguity due to the aperture problem. The model appears to deal with the aperture problem as well as the human visual system since it extracts the correct velocity for some patterns that have large differences in contrast at different spatial orientations.",

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Optical flow using spatiotemporal filters

Abstract

ASJC Scopus subject areas

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