Cited by 158Advanced Vision and ImagingVisual perception and processing mechanismsVideo Surveillance and Tracking Methods

A parallel algorithm for real-time computation of optical flow

Bülthoff, H., Little, J., Poggio, T.·1989·Nature

Abstract

The precise management of two-dimensional field of velocities from time-varying two-dimensional images is impossible in general. It is, however, possible to compute suitable 'optical flows' that are qualitatively similar to the velocity field in most cases. We describe a simple, parallel algorithm that computes an optical flow from sequences of real images, which is consistent with human psychophysics and suggests plausible physiological models. In particular, our algorithm runs on a Connection Machine supercomputer in close-to-real time. It shows several of the same 'illusions' that are perceived by humans. A natural physiological implementation of the model is consistent with data from cortical areas V1 and MT.

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Crossref · 10.1038/337549a0

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15 of 15 references verified0 citation errors · 0 not checkable

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  • This type of simple, local calculation could potentially be implemented in genetically-specified and/or spontaneously self-organized neural circuitry in the retina or early dorsal visual areas.

    “This type of simple, local calculation could potentially be implemented in genetically-specified and/or spontaneously self-organized neural circuitry in the retina or early dorsal visual areas (Bülthoff et al., 1989), perhaps similarly to the frog's “bug detector.””

    From Toward an integration of deep learning and neuroscience (2016) · cites this paper as Bülthoff et al., 1989

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Authors
Bülthoff, H., Little, J., & Poggio, T.
Affiliations
  • Max Planck Society (DE)
  • Massachusetts Institute of Technology (US)
Venue
Nature
Published
1989-02
Volume
337
Issue
6207
Pages
549-553
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2017694161
Cited by
158
References
15
Citations by year
2023: 2 · 2020: 1 · 2016: 5 · 2015: 4 · 2014: 4 · 2013: 1 · 2012: 2
FWCI
18.97
Type
journal article
Language
en
Open access
closed
Locations
  • Nature (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Video Surveillance and Tracking Methods
Keywords
optical flow, parallel algorithms, real-time processing, Connection Machine, motion perception, optical illusions, velocity field estimation, image sequences
MeSH terms
Algorithms, Animals, Computer Systems, Humans, Models, Psychological, Motion Perception, Psychophysics, Robotics, Visual Cortex, Optics and Photonics

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