RANSAC for Aligned Planes with Application to Roof Plane Detection in Point Clouds

Steffen Goebbels; Regina Pohle-Fröhlich

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Paper

RANSAC for Aligned Planes with Application to Roof Plane Detection in Point Clouds

Topics: 3D Model Repair and scene reconstruction; Fundamental Methods and Algorithms; Surface Modeling

In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 0VISIGRAPP, 193-200, 2020 , Valletta, Malta

Authors: Steffen Goebbels and Regina Pohle-Fröhlich

Affiliation: Institute for Pattern Recognition, Faculty of Electrical Engineering and Computer Science, Niederrhein University of Applied Sciences, Reinarzstr. 49, 47805 Krefeld, Germany

Keyword(s): RANSAC, Building Reconstruction, CityGML.

Abstract: Random Sample Consensus (RANSAC) is a standard algorithm to recognize planes in point clouds. It does not require additional context information. However, it might be applied in situations where results can be improved based on domain knowledge. Such a situation is 3D building reconstruction from airborne laser scanning data. The normals of many roof facets are orthogonal to footprint vectors. This specific property helps to estimate roof planes more precisely. The paper describes the adapted RANSAC algorithm. It can be also used in other applications in which planes are aligned to supporting vectors.

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Paper citation in several formats:

Goebbels, S. and Pohle-Fröhlich, R. (2020). RANSAC for Aligned Planes with Application to Roof Plane Detection in Point Clouds. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - GRAPP; ISBN 978-989-758-402-2; ISSN 2184-4321, SciTePress, pages 193-200. DOI: 10.5220/0008836301930200

@conference{grapp20,
author={Steffen Goebbels. and Regina Pohle{-}Fröhlich.},
title={RANSAC for Aligned Planes with Application to Roof Plane Detection in Point Clouds},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - GRAPP},
year={2020},
pages={193-200},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008836301930200},
isbn={978-989-758-402-2},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - GRAPP
TI - RANSAC for Aligned Planes with Application to Roof Plane Detection in Point Clouds
SN - 978-989-758-402-2
IS - 2184-4321
AU - Goebbels, S.
AU - Pohle-Fröhlich, R.
PY - 2020
SP - 193
EP - 200
DO - 10.5220/0008836301930200
PB - SciTePress