A Prior-knowledge based Casted Shadows Prediction Model Featuring OpenStreetMap Data

M. Rogez; L. Tougne; L. Robinault

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Paper

A Prior-knowledge based Casted Shadows Prediction Model Featuring OpenStreetMap Data

Topics: Categorization and Scene Understanding

In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, 602-607, 2013 , Barcelona, Spain

Authors: M. Rogez ¹ ; L. Tougne ² and L. Robinault ¹

Affiliations: ¹ Université de Lyon, CNRS, Université Lyon 2, LIRIS and Foxstream, France ; ² Université de Lyon, CNRS, Université Lyon 2 and LIRIS, France

Keyword(s): Scene Modeling, Shadows Prediction, OpenStreetMap.

Abstract: We present a prior-knowledge based shadow prediction model, focused on outdoors scene, which allows to predict pixels, on the camera, which are likely to be part of shadows casted by surrounded buildings. We employ a geometrical approach which models surrounding buildings, their shadow and the camera. One innovative aspect of our method is to retrieve building datas automatically from OpenStreetMap, a community project providing free geographic data. We provide both qualitative and quantitative results in two different contexts to assess performance of our prediction model. While our method cannot achieve pixel precision easily alone, it opens opportunities for more elaborate shadow detection algorithms and occlusion-aware models.

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Paper citation in several formats:

Rogez, M.; Tougne, L. and Robinault, L. (2013). A Prior-knowledge based Casted Shadows Prediction Model Featuring OpenStreetMap Data. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP; ISBN 978-989-8565-47-1; ISSN 2184-4321, SciTePress, pages 602-607. DOI: 10.5220/0004212206020607

@conference{visapp13,
author={M. Rogez. and L. Tougne. and L. Robinault.},
title={A Prior-knowledge based Casted Shadows Prediction Model Featuring OpenStreetMap Data},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP},
year={2013},
pages={602-607},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004212206020607},
isbn={978-989-8565-47-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP
TI - A Prior-knowledge based Casted Shadows Prediction Model Featuring OpenStreetMap Data
SN - 978-989-8565-47-1
IS - 2184-4321
AU - Rogez, M.
AU - Tougne, L.
AU - Robinault, L.
PY - 2013
SP - 602
EP - 607
DO - 10.5220/0004212206020607
PB - SciTePress