A parallel algorithm for real-time computation of optical flow
- 1 February 1989
- journal article
- letter
- Published by Springer Nature in Nature
- Vol. 337 (6207), 549-553
- https://doi.org/10.1038/337549a0
Abstract
The precise measurement of the 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 "illusions9 that are perceived by humans. A natural physiological implementation of the model is consistent with data from cortical areas V1 and MT.This publication has 13 references indexed in Scilit:
- Parallel Integration of Vision ModulesScience, 1988
- A computational theory for the perception of coherent visual motionNature, 1988
- The aperture problem—I. Perception of nonrigidity and motion direction in translating sinusoidal linesVision Research, 1988
- High-resolution Fresnel zone plates for x-ray applications by spatial-frequency multiplicationJournal of the Optical Society of America A, 1987
- The Perception of Apparent MotionScientific American, 1986
- Spatial phase and frequency in motion capture of random-dot patternsSpatial Vision, 1985
- Practical Real-Time Imaging Stereo MatcherOptical Engineering, 1984
- The Analysis of StereopsisAnnual Review of Neuroscience, 1984
- Phenomenal coherence of moving visual patternsNature, 1982
- Determining optical flowArtificial Intelligence, 1981