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Authors: Steffen Goebbels and Regina Pohle-Fröhlich

Affiliation: Niederrhein University of Applied Sciences, Germany

Keyword(s): Point Clouds, Building Reconstruction, CityGML, Linear Optimization, True Orthophotos.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Image-Based Modeling ; Model Validation ; Modeling and Algorithms ; Pattern Recognition ; Software Engineering

Abstract: This paper describes processing steps that improve both geometric consistency and appearance of CityGML models. In addition to footprints from cadastral data and sparse point clouds obtained from airborne laser scanning, we use true orthophotos to better detect and model edges. Also, procedures to heal self-intersection of polygons and non-planarity of roof facets are presented. Additionally, the paper describes an algorithm to cut off invisible parts of walls. We incorporate these processing steps into our data based framework for building model generation from sparse point clouds. Results are presented for German cities of Krefeld and Leverkusen.

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Paper citation in several formats:
Goebbels, S. and Pohle-Fröhlich, R. (2017). Quality Enhancement Techniques for Building Models Derived from Sparse Point Clouds. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - GRAPP; ISBN 978-989-758-224-0; ISSN 2184-4321, SciTePress, pages 93-104. DOI: 10.5220/0006103300930104

@conference{grapp17,
author={Steffen Goebbels. and Regina Pohle{-}Fröhlich.},
title={Quality Enhancement Techniques for Building Models Derived from Sparse Point Clouds},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - GRAPP},
year={2017},
pages={93-104},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006103300930104},
isbn={978-989-758-224-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - GRAPP
TI - Quality Enhancement Techniques for Building Models Derived from Sparse Point Clouds
SN - 978-989-758-224-0
IS - 2184-4321
AU - Goebbels, S.
AU - Pohle-Fröhlich, R.
PY - 2017
SP - 93
EP - 104
DO - 10.5220/0006103300930104
PB - SciTePress