Multi-viewpoint Visibility Coverage Estimation for 3D Environment Perception - Volumetric Representation as a Gateway to High Resolution Data

Marek Ososinski, Frédéric Labrosse

2014

Abstract

Estimation of visibility is a crucial element of coverage estimation of large, complex environments. This nonprobabilistic problem is often tackled in a 2D context. We present an algorithm that can estimate the visibility of a high resolution scene from a low resolution 3D representation. An octree based voxel representation provides a dataset that is easy to process. Voxel occupancy properties ensure a good approximation of visibilty at high resolution. Our system is capable of producing a reasonable solution to the viewpoint placement issue of the Art gallery problem.

Paper Citation

in Harvard Style

Ososinski M. and Labrosse F. (2014). Multi-viewpoint Visibility Coverage Estimation for 3D Environment Perception - Volumetric Representation as a Gateway to High Resolution Data . In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-004-8, pages 462-469. DOI: 10.5220/0004693504620469

in Bibtex Style

@conference{visapp14,
author={Marek Ososinski and Frédéric Labrosse},
title={Multi-viewpoint Visibility Coverage Estimation for 3D Environment Perception - Volumetric Representation as a Gateway to High Resolution Data},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={462-469},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004693504620469},
isbn={978-989-758-004-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)
TI - Multi-viewpoint Visibility Coverage Estimation for 3D Environment Perception - Volumetric Representation as a Gateway to High Resolution Data
SN - 978-989-758-004-8
AU - Ososinski M.
AU - Labrosse F.
PY - 2014
SP - 462
EP - 469
DO - 10.5220/0004693504620469