Camilleri, D., Boorman, L. orcid.org/0000-0001-5189-0232, Martinez, U. et al. (2 more authors) (2016) A bioinspired approach to vision. In: Alboul, L., Damian, D. and Aitken, J., (eds.) Towards Autonomous Robotic Systems. TAROS 2016: 17th Annual Conference Towards Autonomous Robotic Systems, 26 Jun - 01 Jul 2016, Sheffield, UK. Lecture Notes in Computer Science, 9716 . Springer, Cham , pp. 40-52. ISBN 9783319403786
Abstract
This paper describes the design of a computational vision framework inspired by the cortices of the brain. The proposed framework carries out visual saliency and provides pathways through which object segmentation, learning and recognition skills can be learned and acquired through experience.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2016 Springer International Publishing Switzerland. This is an author-produced version of a paper subsequently published in Alboul L., Damian D., Aitken J. (eds) Towards Autonomous Robotic Systems. TAROS 2016. Lecture Notes in Computer Science, vol 9716. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Human visual system; Bioinspired computing; Computational model; Vision model |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 23 May 2019 13:10 |
Last Modified: | 24 May 2019 05:28 |
Status: | Published |
Publisher: | Springer, Cham |
Series Name: | Lecture Notes in Computer Science |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-319-40379-3_5 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:145984 |