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Implementing early vision algorithms in analog hardware: an overview

Koch, Christof (1991) Implementing early vision algorithms in analog hardware: an overview. In: Visual Information Processing: From Neurons to Chips. Proceedings of SPIE. No.1473. Society of Photo-optical Instrumentation Engineers (SPIE) , Bellingham, WA, pp. 2-16. ISBN 9780819405821.

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In the last ten years, significant progress has been made in understanding the first steps in visual processing. Thus, a large number of algorithms exist that locate edges, compute disparities, estimate motion fields and find discontinuities in depth, motion, color and intensity. However, the application of these algorithms to real-life vision problems has been less successful, mainly because the associated computational cost prevents real-time machine vision implementations on anything but large-scale expensive digital computers. We here review the use of analog, special-purpose vision hardware, integrating image acquisition with early vision algorithms on a single VLSI chip. Such circuits have been designed and successfully tested for edge detection, surface interpolation, computing optical flow and sensor fusion. Thus, it appears that real-time, small, power-lean and robust analog computers are making a limited comeback in the form of highly dedicated, smart vision chips.

Item Type:Book Section
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Koch, Christof0000-0001-6482-8067
Additional Information:© 1991 Society of Photo-Optical Instrumentation Engineers (SPIE). Research on early vision chips in our laboratory is supported by the the National Science Foundation, the Office of Naval Research, Rockwell International Science Center and the Artificial Intelligence Center at Hughes Aircraft.
Funding AgencyGrant Number
Office of Naval Research (ONR)UNSPECIFIED
Rockwell International Science CenterUNSPECIFIED
Hughes Aircraft Artificial Intelligence CenterUNSPECIFIED
Series Name:Proceedings of SPIE
Issue or Number:1473
Record Number:CaltechAUTHORS:20181213-143632907
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Official Citation:Christof Koch, "Implementing early vision algorithms in analog hardware: an overview," Proc. SPIE 1473, Visual Information Processing: From Neurons to Chips, (9 July 1991); doi: 10.1117/12.45546
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:91814
Deposited By: George Porter
Deposited On:19 Dec 2018 21:28
Last Modified:16 Nov 2021 03:44

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