Khan, A., Aragon-Camarasa, G. and Siebert, J. P. (2016) A Portable Active Binocular Robot Vision Architecture for Scene Exploration. In: 17th Towards Autonomous Robotic Systems (TAROS-16), Sheffield, UK, 28-30 June 2016, pp. 214-225. ISBN 9783319403786 (doi: 10.1007/978-3-319-40379-3_22)
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Abstract
We present a portable active binocular robot vision archi- tecture that integrates a number of visual behaviours. This vision archi- tecture inherits the abilities of vergence, localisation, recognition and si- multaneous identification of multiple target object instances. To demon- strate the portability of our vision architecture, we carry out qualitative and comparative analysis under two different hardware robotic settings, feature extraction techniques and viewpoints. Our portable active binoc- ular robot vision architecture achieved average recognition rates of 93.5% for fronto-parallel viewpoints and, 83% percentage for anthropomorphic viewpoints, respectively.
Item Type: | Conference Proceedings |
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Additional Information: | Funding by The College of Science and Engineering Scholarships Gerardo Aragon Camarasa: AlSSan, the European Union Programme of High Level Scholarships for Latin America, scholarship no. E07D400872MX and CONACYT-Mexico |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Aragon Camarasa, Dr Gerardo and Khan, Dr Aamir and Siebert, Dr Paul |
Authors: | Khan, A., Aragon-Camarasa, G., and Siebert, J. P. |
College/School: | College of Science and Engineering > School of Computing Science |
ISSN: | 0302-9743 |
ISBN: | 9783319403786 |
Published Online: | 21 June 2016 |
Copyright Holders: | Copyright © 2016 Springer International Publishing |
First Published: | First published in Lecture Notes in Computer Science 9716: 214-225 |
Publisher Policy: | Reproduced in accordance with the publisher copyright policy |
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