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Optical Flow and Surface Interpolation in Resistive Networks: Algorithms and Analog VLSI Chips

Koch, Christof and Luo, Jin and Hutchinson, James and Mead, Carver (1989) Optical Flow and Surface Interpolation in Resistive Networks: Algorithms and Analog VLSI Chips. . (Unpublished) http://resolver.caltech.edu/CaltechAUTHORS:20151029-101037556

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Abstract

To us, and to other biological organisms, vision seems effortless. We open our eyes and we "see" the world in all its color, brightness, and movement. Flies, frogs, cats, and humans can all equally well perceive a rapidly changing environment and act on it. Yet, we have great difficulties when trying to endow our machines with similar abilities. In this article, we describe recent developments in the theory of early vision that led from the formulation of the motion problem as an ill-posed one to its solution by minimizing certain "cost" functions. These cost or energy functions can be mapped onto simple analog and digital resistive networks. For instance, as detailed in this chapter, we can compute the optical flow by injecting currents into resistive networks and recording the resulting stationary voltage distribution at each node. These networks, which are implemented in subthreshold, analog, complementary metal oxide semiconductor (CMOS) very large scale integrated (VLSI) circuits, are very attractive for their technological potential.


Item Type:Report or Paper (Discussion Paper)
Additional Information:An early version of this model was developed and implemented in collaboration with A.L. Yuille (1987). Matthew Avalos and Andrew Hsu wrote the code for the Imaging Technology system, and Eric Staats for the Ncube. C.K. is supported by an Office of Naval Research Young Investigator Award and grants from the NSF Advanced Engineering Program (EET-8714710 and IST-8700064), the James Lee Powell Foundation and Rockwell International Science Center. C.M. is supported by the Office of Naval Research and the System Development Foundation.
Group:Koch Laboratory, KLAB
Funders:
Funding AgencyGrant Number
Office of Naval Research (ONR)UNSPECIFIED
NSFEET-8714710
NSFIST-8700064
James Lee Powell FoundationUNSPECIFIED
Rockwell International Science CenterUNSPECIFIED
System Development FoundationUNSPECIFIED
Record Number:CaltechAUTHORS:20151029-101037556
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20151029-101037556
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:61710
Collection:CaltechAUTHORS
Deposited By: Kristin Buxton
Deposited On:29 Oct 2015 17:19
Last Modified:29 Oct 2015 17:19

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