ESTIMATION OF CAMERA 3D-POSITION TO MINIMIZE OCCLUSIONS

Oscar Reinoso

Abstract

Occlusions are almost always seen as undesirable singularities that pose difficult challenges to recognition processes of objects which have to be manipulated by a robot. Often, the occlusions are perceived because the viewpoint with which a scene is observed is not adapted. In this paper, a strategy to determine the location, orientation and position, more suitable so that a camera has the best viewpoint to capture a scene composed by several objects is presented. The estimation for the best location of the camera is based on minimizing the zones of occlusion by the analysis of a virtual image sequence in which is represented the virtual projection of the objects. These virtual projections represent the images as if they were captured by a camera with different viewpoints without moving it.

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Paper Citation


in Harvard Style

Reinoso O. (2007). ESTIMATION OF CAMERA 3D-POSITION TO MINIMIZE OCCLUSIONS . In Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO, ISBN 978-972-8865-83-2, pages 311-317. DOI: 10.5220/0001646703110317


in Bibtex Style

@conference{icinco07,
author={Oscar Reinoso},
title={ESTIMATION OF CAMERA 3D-POSITION TO MINIMIZE OCCLUSIONS},
booktitle={Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO,},
year={2007},
pages={311-317},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001646703110317},
isbn={978-972-8865-83-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO,
TI - ESTIMATION OF CAMERA 3D-POSITION TO MINIMIZE OCCLUSIONS
SN - 978-972-8865-83-2
AU - Reinoso O.
PY - 2007
SP - 311
EP - 317
DO - 10.5220/0001646703110317