Binocular Disparity Calculation on a Massively-Parallel Analog Vision Processor
Name
Mandal-2010-Binocular disparity calculation on a massively-parallel analog vision processor.pdf
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Author(s)
Mandal, Soumyajit
Shi, Bertram
Dudek, Piotr
Date Issued
March 2010
Journal
12th International Workshop on Cellular Nanoscale Networks and Their Applications (CNNA), 2010
Publisher
Institute of Electrical and Electronics Engineers
Citation
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
Version
Final published version
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Research Laboratory of Electronics
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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.
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DOI of Published Version
https://doi.org/10.1109/CNNA.2010.5430282
