loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Tyler W. Garaas ; Frank Marino and Marc Pomplun

Affiliation: University of Massachusetts Boston, United States

Keyword(s): Robotic Vision, Neural Modeling, Camera Control, Auto White Balance, Auto Exposure.

Related Ontology Subjects/Areas/Topics: Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Neural Networks Based Control Systems ; Robotics and Automation ; Vision, Recognition and Reconstruction

Abstract: Recently there has been growing interest in creating large-scale simulations of certain areas in the brain. The areas that are receiving the overwhelming focus are visual in nature, which may provide a means to compute some of the complex visual functions that have plagued AI researchers for many decades; robust object recognition, for example. Additionally, with the recent introduction of cheap computational hardware capable of computing at several teraflops, real-time robotic vision systems will likely be implemented using simplified neural models based on their slower, more realistic counterparts. This paper presents a series of small neural networks that can be integrated into a neural model of the human retina to automatically control the white-balance and exposure parameters of a standard video camera to optimize the computational processing performed by the neural model. Results of a sample implementation including a comparison with proprietary methods are presented. One strong advantage that these integrated sub-networks possess over proprietary mechanisms is that ‘attention’ signals could be used to selectively optimize areas of the image that are most relevant to the task at hand. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.81.57.77

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
W. Garaas, T.; Marino, F. and Pomplun, M. (2009). AUTONOMOUS CAMERA CONTROL BY NEURAL MODELS IN ROBOTIC VISION SYSTEMS. In Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-674-000-9; ISSN 2184-2809, SciTePress, pages 305-311. DOI: 10.5220/0002217303050311

@conference{icinco09,
author={Tyler {W. Garaas}. and Frank Marino. and Marc Pomplun.},
title={AUTONOMOUS CAMERA CONTROL BY NEURAL MODELS IN ROBOTIC VISION SYSTEMS},
booktitle={Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2009},
pages={305-311},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002217303050311},
isbn={978-989-674-000-9},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - AUTONOMOUS CAMERA CONTROL BY NEURAL MODELS IN ROBOTIC VISION SYSTEMS
SN - 978-989-674-000-9
IS - 2184-2809
AU - W. Garaas, T.
AU - Marino, F.
AU - Pomplun, M.
PY - 2009
SP - 305
EP - 311
DO - 10.5220/0002217303050311
PB - SciTePress