Harris, John G. (1991) Continuous-time segmentation networks. In: Visual Information Processing: From Neurons to Chips. Proceedings of SPIE. No.1473. Society of Photo-optical Instrumentation Engineers (SPIE) , Bellingham, WA, pp. 161-172. ISBN 9780819405821. https://resolver.caltech.edu/CaltechAUTHORS:20181213-143633096
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Abstract
Segmentation is a basic problem in computer vision. The tiny-tanh network, a continuous-time network that segments scenes based upon intensity, motion, or depth is introduced. The tiny- tanh algorithm maps naturally to analog circuitry since it was inspired by previous experiments with analog VLSI segmentation hardware. A convex Lyapunov energy is utilized so that the system does not get stuck in local minima. No annealing algorithms of any kind are necessary- -a sharp contrast to previous software/hardware solutions of this problem.
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| Additional Information: | © 1991 Society of Photo-Optical Instrumentation Engineers (SPIE). This work was done in close cooperation with Christof Koch. Thanks to Carver Mead for making this research possible. All chips were fabricated through MOSIS with DARPA's support. This research was partially supported by NSF grant IST-8700064, a grant from the Office of Naval Research, by DDF-II funds from the Jet Propulsion Laboratory at the California Institute of Technology. | ||||||||||
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| Series Name: | Proceedings of SPIE | ||||||||||
| Issue or Number: | 1473 | ||||||||||
| Record Number: | CaltechAUTHORS:20181213-143633096 | ||||||||||
| Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20181213-143633096 | ||||||||||
| Official Citation: | John G. Harris, "Continuous-time segmentation networks," Proc. SPIE 1473, Visual Information Processing: From Neurons to Chips, (9 July 1991); doi: 10.1117/12.45549 | ||||||||||
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||||||
| ID Code: | 91816 | ||||||||||
| Collection: | CaltechAUTHORS | ||||||||||
| Deposited By: | George Porter | ||||||||||
| Deposited On: | 18 Dec 2018 21:22 | ||||||||||
| Last Modified: | 03 Oct 2019 20:38 |
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