Paper
1 July 1990 Neural network for computing optical flow from spatio-temporal frequencies
Thomas R. Tsao, Victor C. Chen, John M. Libert, Haw-Jye S. Shyu
Author Affiliations +
Proceedings Volume 1215, Digital Optical Computing II; (1990) https://doi.org/10.1117/12.18090
Event: OE/LASE '90, 1990, Los Angeles, CA, United States
Abstract
Gabor-type motion sensors can be used to extract the spatio-teniporal frequencies of moving image patches. We propose a energy minimization scheme for the computation of optical flow from spatio-temporal frequencies. This computational scheme can be implemented by an optical neural system to perform rea1time visual motion analysis.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas R. Tsao, Victor C. Chen, John M. Libert, and Haw-Jye S. Shyu "Neural network for computing optical flow from spatio-temporal frequencies", Proc. SPIE 1215, Digital Optical Computing II, (1 July 1990); https://doi.org/10.1117/12.18090
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KEYWORDS
Sensors

Neural networks

Optical flow

Image sensors

Spatial frequencies

Motion analysis

Optical computing

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