AUTOMATIC OBJECTS DETECTION FOR MODELING INDOOR ENVIRONMENTS
Marion Decrouez, Romain Dupont, François Gaspard, James L. Crowley
2012
Abstract
In this paper we describe a new solution for constructing a model of a scene and its objects using various explorations of a single camera in an unknown environment. Object motion presents a difficult challenge to scene modeling. The proposed method combines metric localization and place recognition to detect and model objects without a priori knowledge and to incrementally extend a scene model by adding new places and objects. We demonstrate the quality of our approach with results from image sequences taken from two different scenes.
DownloadPaper Citation
in Harvard Style
Decrouez M., Dupont R., Gaspard F. and L. Crowley J. (2012). AUTOMATIC OBJECTS DETECTION FOR MODELING INDOOR ENVIRONMENTS . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7, pages 573-578. DOI: 10.5220/0003818205730578
in Bibtex Style
@conference{visapp12,
author={Marion Decrouez and Romain Dupont and François Gaspard and James L. Crowley},
title={AUTOMATIC OBJECTS DETECTION FOR MODELING INDOOR ENVIRONMENTS},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={573-578},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003818205730578},
isbn={978-989-8565-03-7},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)
TI - AUTOMATIC OBJECTS DETECTION FOR MODELING INDOOR ENVIRONMENTS
SN - 978-989-8565-03-7
AU - Decrouez M.
AU - Dupont R.
AU - Gaspard F.
AU - L. Crowley J.
PY - 2012
SP - 573
EP - 578
DO - 10.5220/0003818205730578