Parametric Study of Diffusion-Enhancement Networks for Spatiotemporal Grouping in Real-Time Artificial Vision
Annual summary rept. no. 1, Oct 1989-Mar 1991,
MASSACHUSETTS INST OF TECH LEXINGTON LINCOLN LAB
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This is the first Annual Technical Summary of the MIT Lincoln Laboratory effort into the parametric study of diffusion-enhancement networks for spatiotemporal grouping in real-time artificial vision. Spatiotemporal grouping phenomena are examined in the context of static and time-varying imagery. Dynamics that exhibit static feature grouping on multiple scales as a function of time and long-range apparent motion between time-varying inputs are developed for a biologically plausible diffusion-enhancement bilayer. The architecture consists of a diffusion and a contrast-enhancement layer coupled by feedforward and feedback connections input is provided by a separate feature extracting layer. The model is cast as an analog circuit that is realizable in VSLI, the parameters of which are selected to satisfy a psychophysical database on apparent motion.
- Biomedical Instrumentation and Bioengineering