AUTOMATIC FACADE IMAGE RECTIFICATION AND EXTRACTION USING LINE SEGMENT FEATURES

Chun Liu

2011

Abstract

Recently image based facade modeling has attracted significant attention for 3D urban reconstruction because of low cost on data acquisition and large amount of available image processing tools. In image based facade modeling, it normally requests a rectified and segmented image input covering only the facade region. Yet this requirement involves heavy manual work on the perspective rectification and facade region extraction. In this paper, we propose an automatic rectification and segmentation process using line segment features. The raw input image is firstly rectified with the help of two vanishing points estimated from line segment in the image. Then based on the line segment spatial distribution and the luminance feature, the facade region is extracted from the sky, the road and the near-by buildings. The experiments show this method successfully work on Paris urban buildings.

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Paper Citation


in Harvard Style

Liu C. (2011). AUTOMATIC FACADE IMAGE RECTIFICATION AND EXTRACTION USING LINE SEGMENT FEATURES . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011) ISBN 978-989-8425-47-8, pages 104-111. DOI: 10.5220/0003316401040111

in Bibtex Style

@conference{visapp11,
author={Chun Liu},
title={AUTOMATIC FACADE IMAGE RECTIFICATION AND EXTRACTION USING LINE SEGMENT FEATURES},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)},
year={2011},
pages={104-111},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003316401040111},
isbn={978-989-8425-47-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)
TI - AUTOMATIC FACADE IMAGE RECTIFICATION AND EXTRACTION USING LINE SEGMENT FEATURES
SN - 978-989-8425-47-8
AU - Liu C.
PY - 2011
SP - 104
EP - 111
DO - 10.5220/0003316401040111