Smart Visual Sensing Using a Software Retina Model

Siebert, J. P. , Ozimek, P., Balog, L., Hristozova, N. and Aragon-Camarasa, G. (2018) Smart Visual Sensing Using a Software Retina Model. IROS2018 Workshop: Unconventional Sensing and Processing for Robotic Visual Perception, at 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, Madrid, Spain, 05 Oct 2018.

183359.pdf - Accepted Version



We present an approach to efficient visual sensing and perception based on a non-uniformly sampled, biologically inspired, software retina that when combined with a DCNN classifier has enabled megapixel-sized camera input images to be processed in a single pass, while maintaining state-of-the recognition performance.

Item Type:Conference or Workshop Item
Keywords:Retina vision, CNN, robot vision, egocentric perception.
Glasgow Author(s) Enlighten ID:Ozimek, Peter and Siebert, Dr Paul and Hristozova, Nina and Aragon Camarasa, Dr Gerardo
Authors: Siebert, J. P., Ozimek, P., Balog, L., Hristozova, N., and Aragon-Camarasa, G.
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
College/School:College of Science and Engineering > School of Computing Science
Research Group:Computer Vision for Autonomous Systems
Copyright Holders:Copyright © 2018 The Authors
Publisher Policy:Reproduced with the permission of the Authors

University Staff: Request a correction | Enlighten Editors: Update this record