Parallel Networks for Machine Vision

The amount of computation required to solve many early vision problems is prodigious, and so it has long been thought that systems that operate in a reasonable amount of time will only become feasible when parallel systems become available. Such systems now exist in digital form, but most are...

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Main Author: Horn, Berthold K.P.
Language:en_US
Published: 2004
Online Access:http://hdl.handle.net/1721.1/6498
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author Horn, Berthold K.P.
author_facet Horn, Berthold K.P.
author_sort Horn, Berthold K.P.
collection MIT
description The amount of computation required to solve many early vision problems is prodigious, and so it has long been thought that systems that operate in a reasonable amount of time will only become feasible when parallel systems become available. Such systems now exist in digital form, but most are large and expensive. These machines constitute an invaluable test-bed for the development of new algorithms, but they can probably not be scaled down rapidly in both physical size and cost, despite continued advances in semiconductor technology and machine architecture. Simple analog networks can perform interesting computations, as has been known for a long time. We have reached the point where it is feasible to experiment with implementation of these ideas in VLSI form, particularly if we focus on networks composed of locally interconnected passive elements, linear amplifiers, and simple nonlinear components. While there have been excursions into the development of ideas in this area since the very beginnings of work on machine vision, much work remains to be done. Progress will depend on careful attention to matching of the capabilities of simple networks to the needs of early vision. Note that this is not at all intended to be anything like a review of the field, but merely a collection of some ideas that seem to be interesting.
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spelling mit-1721.1/64982019-04-12T08:31:17Z Parallel Networks for Machine Vision Horn, Berthold K.P. The amount of computation required to solve many early vision problems is prodigious, and so it has long been thought that systems that operate in a reasonable amount of time will only become feasible when parallel systems become available. Such systems now exist in digital form, but most are large and expensive. These machines constitute an invaluable test-bed for the development of new algorithms, but they can probably not be scaled down rapidly in both physical size and cost, despite continued advances in semiconductor technology and machine architecture. Simple analog networks can perform interesting computations, as has been known for a long time. We have reached the point where it is feasible to experiment with implementation of these ideas in VLSI form, particularly if we focus on networks composed of locally interconnected passive elements, linear amplifiers, and simple nonlinear components. While there have been excursions into the development of ideas in this area since the very beginnings of work on machine vision, much work remains to be done. Progress will depend on careful attention to matching of the capabilities of simple networks to the needs of early vision. Note that this is not at all intended to be anything like a review of the field, but merely a collection of some ideas that seem to be interesting. 2004-10-04T15:13:03Z 2004-10-04T15:13:03Z 1988-12-01 AIM-1071 http://hdl.handle.net/1721.1/6498 en_US AIM-1071 6354141 bytes 4944865 bytes application/postscript application/pdf application/postscript application/pdf
spellingShingle Horn, Berthold K.P.
Parallel Networks for Machine Vision
title Parallel Networks for Machine Vision
title_full Parallel Networks for Machine Vision
title_fullStr Parallel Networks for Machine Vision
title_full_unstemmed Parallel Networks for Machine Vision
title_short Parallel Networks for Machine Vision
title_sort parallel networks for machine vision
url http://hdl.handle.net/1721.1/6498
work_keys_str_mv AT hornbertholdkp parallelnetworksformachinevision