3D MODELING OF STREET BUILDINGS FROM PANORAMIC VIDEO SEQUENCES AND GOOGLE MAP IMAGE

Fay Huang, Augustine Tsai, Jing-Siang Hsu, Yi-Ju Wu

2012

Abstract

A semi-automatic image-based framework for modeling of street buildings is proposed in this paper. Two types of image sources are used, one is a sequence of ground-level spherical panoramic images captured by panoramic video recorder, and the other is an aerial image of the desired area obtained from Google Map. The advantages of our approach are first that the camera trajectory recovery result is more accurate and stable due to that the spherical panoramic images are used if compared to multiview planar images. Second, since each face texture of a building is extracted from a single panoramic image, there is no need to deal with color blending problem while textures overlapped.

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Paper Citation


in Harvard Style

Huang F., Tsai A., Hsu J. and Wu Y. (2012). 3D MODELING OF STREET BUILDINGS FROM PANORAMIC VIDEO SEQUENCES AND GOOGLE MAP IMAGE . In Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2012) ISBN 978-989-8565-02-0, pages 109-114. DOI: 10.5220/0003811301090114


in Harvard Style

Huang F., Tsai A., Hsu J. and Wu Y. (2012). 3D MODELING OF STREET BUILDINGS FROM PANORAMIC VIDEO SEQUENCES AND GOOGLE MAP IMAGE . In Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2012) ISBN 978-989-8565-02-0, pages 109-114. DOI: 10.5220/0003811301090114


in Bibtex Style

@conference{grapp12,
author={Fay Huang and Augustine Tsai and Jing-Siang Hsu and Yi-Ju Wu},
title={3D MODELING OF STREET BUILDINGS FROM PANORAMIC VIDEO SEQUENCES AND GOOGLE MAP IMAGE},
booktitle={Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2012)},
year={2012},
pages={109-114},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003811301090114},
isbn={978-989-8565-02-0},
}


in Bibtex Style

@conference{grapp12,
author={Fay Huang and Augustine Tsai and Jing-Siang Hsu and Yi-Ju Wu},
title={3D MODELING OF STREET BUILDINGS FROM PANORAMIC VIDEO SEQUENCES AND GOOGLE MAP IMAGE},
booktitle={Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2012)},
year={2012},
pages={109-114},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003811301090114},
isbn={978-989-8565-02-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2012)
TI - 3D MODELING OF STREET BUILDINGS FROM PANORAMIC VIDEO SEQUENCES AND GOOGLE MAP IMAGE
SN - 978-989-8565-02-0
AU - Huang F.
AU - Tsai A.
AU - Hsu J.
AU - Wu Y.
PY - 2012
SP - 109
EP - 114
DO - 10.5220/0003811301090114


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2012)
TI - 3D MODELING OF STREET BUILDINGS FROM PANORAMIC VIDEO SEQUENCES AND GOOGLE MAP IMAGE
SN - 978-989-8565-02-0
AU - Huang F.
AU - Tsai A.
AU - Hsu J.
AU - Wu Y.
PY - 2012
SP - 109
EP - 114
DO - 10.5220/0003811301090114