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Authors: Daniele Re 1 ; Agostino Gibaldi 1 ; Silvio P. Sabatini 1 and Michael W. Spratling 2

Affiliations: 1 University of Genoa, Italy ; 2 King's College London, United Kingdom

ISBN: 978-989-758-227-1

Keyword(s): Disparity, Binocular Vision, Stereopsis, Vergence, Saccade, Attention, Basis Function Networks, Neural Networks, Sensory-sensory Transformations, Sensory-motor Control, Learning, V1 Area, Receptive Field Learning.

Related Ontology Subjects/Areas/Topics: Active and Robot Vision ; Computer Vision, Visualization and Computer Graphics ; Early and Biologically-Inspired Vision ; Image and Video Analysis ; Motion, Tracking and Stereo Vision ; Stereo Vision and Structure from Motion ; Visual Attention and Image Saliency

Abstract: The human visual system uses saccadic and vergence eyes movements to foveate interesting objects with both eyes, and thus exploring the visual scene. To mimic this biological behavior in active vision, we proposed a bio-inspired integrated system able to learn a functional sensory representation of the environment, together with the motor commands for binocular eye coordination, directly by interacting with the environment itself. The proposed architecture, rather than sequentially combining different functionalities, is a robust integration of different modules that rely on a front-end of learned binocular receptive fields to specialize on different sub-tasks. The resulting modular architecture is able to detect salient targets in the scene and perform precise binocular saccadic and vergence movement on it. The performances of the proposed approach has been tested on the iCub Simulator, providing a quantitative evaluation of the computational potentiality of the learned sensory and m otor resources. (More)

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Paper citation in several formats:
Re D., Gibaldi A., P. Sabatini S. and W. Spratling M. (2017). An Integrated System based on Binocular Learned Receptive Fields for Saccade-vergence on Visually Salient Targets.In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 6: VISAPP, (VISIGRAPP 2017) ISBN 978-989-758-227-1, pages 204-215. DOI: 10.5220/0006124702040215

@conference{visapp17,
author={Daniele Re and Agostino Gibaldi and Silvio P. Sabatini and Michael W. Spratling},
title={An Integrated System based on Binocular Learned Receptive Fields for Saccade-vergence on Visually Salient Targets},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 6: VISAPP, (VISIGRAPP 2017)},
year={2017},
pages={204-215},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006124702040215},
isbn={978-989-758-227-1},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 6: VISAPP, (VISIGRAPP 2017)
TI - An Integrated System based on Binocular Learned Receptive Fields for Saccade-vergence on Visually Salient Targets
SN - 978-989-758-227-1
AU - Re D.
AU - Gibaldi A.
AU - P. Sabatini S.
AU - W. Spratling M.
PY - 2017
SP - 204
EP - 215
DO - 10.5220/0006124702040215

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