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Pipelining - an approach for machine vision

Abstract:

Much effort has been spent over the last decade in producing so called "Machine Vision" systems for use in robotics, automated inspection, assembly and numerous other fields. Because of the large amount of data involved in an image (typically ¼ MByte) and the complexity of many algorithms used, the processing times required have been far in excess of real time on a VAX-class serial processor. We review a number of image understanding algorithms that compute a globally defined "state", and ...

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Balliol College
Role:
Author

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Role:
Supervisor
Publication date:
1987
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
Language:
English
UUID:
uuid:1258e292-2603-4941-87db-d2a56b8856a2
Local pid:
td:601894446
Source identifiers:
601894446
Deposit date:
2015-03-25

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