Binocular Disparity Calculation on a Massively-Parallel Analog Vision Processor

We studied neuromorphic models of binocular disparity processing and mapped them onto a vision chip containing a massively parallel analog processor array. Our goal was to make efficient use of the available hardware while preserving the fundamental computations performed by the models. We also deve...

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Main Authors: Mandal, Soumyajit, Shi, Bertram, Dudek, Piotr
Other Authors: Massachusetts Institute of Technology. Research Laboratory of Electronics
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers 2011
Online Access:http://hdl.handle.net/1721.1/61755
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author Mandal, Soumyajit
Shi, Bertram
Dudek, Piotr
author2 Massachusetts Institute of Technology. Research Laboratory of Electronics
author_facet Massachusetts Institute of Technology. Research Laboratory of Electronics
Mandal, Soumyajit
Shi, Bertram
Dudek, Piotr
author_sort Mandal, Soumyajit
collection MIT
description We studied neuromorphic models of binocular disparity processing and mapped them onto a vision chip containing a massively parallel analog processor array. Our goal was to make efficient use of the available hardware while preserving the fundamental computations performed by the models. We also developed an optical fixture that used mirrors to simultaneously focus two images onto the vision chip. This fixture simulates two horizontally-separated virtual cameras, thereby allowing us to run our binocular disparity estimation algorithms using a single image sensor in real time.
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spelling mit-1721.1/617552022-09-30T09:55:27Z Binocular Disparity Calculation on a Massively-Parallel Analog Vision Processor Mandal, Soumyajit Shi, Bertram Dudek, Piotr Massachusetts Institute of Technology. Research Laboratory of Electronics Mandal, Soumyajit Mandal, Soumyajit We studied neuromorphic models of binocular disparity processing and mapped them onto a vision chip containing a massively parallel analog processor array. Our goal was to make efficient use of the available hardware while preserving the fundamental computations performed by the models. We also developed an optical fixture that used mirrors to simultaneously focus two images onto the vision chip. This fixture simulates two horizontally-separated virtual cameras, thereby allowing us to run our binocular disparity estimation algorithms using a single image sensor in real time. 2011-03-21T21:12:00Z 2011-03-21T21:12:00Z 2010-03 2010-02 Article http://purl.org/eprint/type/ConferencePaper 978-1-4244-6679-5 INSPEC Accession Number: 11207588 http://hdl.handle.net/1721.1/61755 Mandai, S., B. Shi, and P. Dudek. “Binocular disparity calculation on a massively-parallel analog vision processor.” Cellular Nanoscale Networks and Their Applications (CNNA), 2010 12th International Workshop on. 2010. 1-5. © Copyright 2010 IEEE en_US http://dx.doi.org/10.1109/CNNA.2010.5430282 12th International Workshop on Cellular Nanoscale Networks and Their Applications (CNNA), 2010 Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Institute of Electrical and Electronics Engineers IEEE
spellingShingle Mandal, Soumyajit
Shi, Bertram
Dudek, Piotr
Binocular Disparity Calculation on a Massively-Parallel Analog Vision Processor
title Binocular Disparity Calculation on a Massively-Parallel Analog Vision Processor
title_full Binocular Disparity Calculation on a Massively-Parallel Analog Vision Processor
title_fullStr Binocular Disparity Calculation on a Massively-Parallel Analog Vision Processor
title_full_unstemmed Binocular Disparity Calculation on a Massively-Parallel Analog Vision Processor
title_short Binocular Disparity Calculation on a Massively-Parallel Analog Vision Processor
title_sort binocular disparity calculation on a massively parallel analog vision processor
url http://hdl.handle.net/1721.1/61755
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