Haitham, F., Aragon-Camarasa, G. and Siebert, J.P. (2008) Towards binocular active vision in a robot head system. In: Towards Autonomous Robotic Systems Conference, Edinburgh, 1-3 September,
Text
502x.pdf 953kB |
Abstract
This paper presents the first results of an investigation and pilot study into an active, binocular vision system that combines binocular vergence, object recognition and attention control in a unified framework. The prototype developed is capable of identifying, targeting, verging on and recognizing objects in a highly-cluttered scene without the need for calibration or other knowledge of the camera geometry. This is achieved by implementing all image analysis in a symbolic space without creating explicit pixel-space maps. The system structure is based on the ‘searchlight metaphor’ of biological systems. We present results of a first pilot investigation that yield a maximum vergence error of 6.4 pixels, while seven of nine known objects were recognized in a high-cluttered environment. Finally a “stepping stone” visual search strategy was demonstrated, taking a total of 40 saccades to find two known objects in the workspace, neither of which appeared simultaneously within the Field of View resulting from any individual saccade.
Item Type: | Conference Proceedings |
---|---|
Keywords: | Binocular vision, active vision, gaze control, vergence, robot head |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Siebert, Dr Paul and Aragon Camarasa, Dr Gerardo |
Authors: | Haitham, F., Aragon-Camarasa, G., and Siebert, J.P. |
Subjects: | T Technology > T Technology (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
College/School: | College of Science and Engineering > School of Computing Science |
First Published: | First published in Proceedings of the Towards Autonomous Robotic Systems Conference |
Publisher Policy: | Reproduced with permission of the author |
University Staff: Request a correction | Enlighten Editors: Update this record