Accession Number : ADA256059


Title :   Parametric Study of Diffusion-Enhancement Networks for Spatiotemporal Grouping in Real-Time Artificial Vision


Descriptive Note : Annual technical summary rept. Apr 1991-Jun 1992


Corporate Author : MASSACHUSETTS INST OF TECH LEXINGTON LINCOLN LAB


Personal Author(s) : Cunningham, Robert K ; Waxman, Allen M


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a256059.pdf


Report Date : 24 Jul 1992


Pagination or Media Count : 42


Abstract : This is the second Annual Technical Summary of the MIT Lincoln Laboratory 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 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 VLSI, the parameters of which are selected to satisfy a psychophysical data base on apparent motion.


Descriptors :   *SPATIAL DISTRIBUTION , *PSYCHOPHYSIOLOGY , DATA BASES , INPUT , MODELS , REAL TIME , LAYERS , AUGMENTATION , VERY LARGE SCALE INTEGRATION , FEEDBACK , MITES , STATICS , ARCHITECTURE , CIRCUITS , DIFFUSION , LABORATORIES , ANALOGS , AXES , TIME , MOTION , PARAMETERS , DYNAMICS , NETWORKS , CONTRAST , FUNCTIONS


Subject Categories : Psychology
      Anatomy and Physiology


Distribution Statement : APPROVED FOR PUBLIC RELEASE