Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)

Image-based Fast 3D Reconstruction

Authors
Jianjun Xia, Fei Wang, Xiaocui Zheng
Corresponding Author
Jianjun Xia
Available Online November 2016.
DOI
10.2991/icmia-16.2016.149How to use a DOI?
Keywords
3D reconstruction, structure from motion, image matching.
Abstract

Image-based 3D reconstruction has many applications, but the reconstruction process is really time-consuming. In this paper, we have discussed several existing methods which can speed up the reconstruction, but many of them have their own limitations. After the analysis of image-based 3D reconstruction procedures, we proposed several possible strategies, like preprocessing images to accelerate image matching and calculating a less dense point cloud to save the time of getting mesh and textures, which are supposed to quicken the process of reconstruction.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
Series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
978-94-6252-256-5
ISSN
1951-6851
DOI
10.2991/icmia-16.2016.149How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jianjun Xia
AU  - Fei Wang
AU  - Xiaocui Zheng
PY  - 2016/11
DA  - 2016/11
TI  - Image-based Fast 3D Reconstruction
BT  - Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-16.2016.149
DO  - 10.2991/icmia-16.2016.149
ID  - Xia2016/11
ER  -