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Authors: Dimitrios Konstantinidis 1 ; Vasileios Argyriou 2 ; Tania Stathaki 1 and Nikos Grammalidis 3

Affiliations: 1 Imperial College London, United Kingdom ; 2 Kingston University, United Kingdom ; 3 CERTH-ITI, Greece

Keyword(s): Building Segmentation, Satellite Images, 3D Reconstruction, Shape-from-Shading, Kmeans, Quaternions.

Abstract: An important cue that can assist towards an accurate building detection and segmentation is 3D information. Because of their height, buildings can easily be distinguished from the ground and small objects, allowing for their successful segmentation. Unfortunately, 3D knowledge is not always available, but there are ways to infer 3D information from 2D images. Shape-from-shading techniques extract height and surface normal information from a single 2D image by taking into consideration knowledge about illumination, reflectance and shape. In this paper, a novel feature is proposed that can describe the 3D information of reconstructed images based on a shape-from-shading technique in order to successfully acquire building boundaries. The results are promising and show that such a 3D feature can significantly assist in a correct building boundary detection and segmentation.

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Paper citation in several formats:
Konstantinidis, D.; Argyriou, V.; Stathaki, T. and Grammalidis, N. (2015). A 3D Feature for Building Segmentation based on Shape-from-Shading. In Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: MMS-ER3D; ISBN 978-989-758-090-1; ISSN 2184-4321, SciTePress, pages 595-602. DOI: 10.5220/0005456305950602

@conference{mms-er3d15,
author={Dimitrios Konstantinidis. and Vasileios Argyriou. and Tania Stathaki. and Nikos Grammalidis.},
title={A 3D Feature for Building Segmentation based on Shape-from-Shading},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: MMS-ER3D},
year={2015},
pages={595-602},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005456305950602},
isbn={978-989-758-090-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: MMS-ER3D
TI - A 3D Feature for Building Segmentation based on Shape-from-Shading
SN - 978-989-758-090-1
IS - 2184-4321
AU - Konstantinidis, D.
AU - Argyriou, V.
AU - Stathaki, T.
AU - Grammalidis, N.
PY - 2015
SP - 595
EP - 602
DO - 10.5220/0005456305950602
PB - SciTePress

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