Proceedings of the 2016 3rd International Conference on Mechatronics and Information Technology

3D Reconstruction of Weak Texture Surface Based On Binocular Vision

Authors
Fang Fan, Zhenwei Wang, Shuangyin Liu, Ye Tian
Corresponding Author
Fang Fan
Available Online April 2016.
DOI
10.2991/icmit-16.2016.24How to use a DOI?
Keywords
binocular vision,key points,circular markers,3D reconstruction
Abstract

With the rapid development of computer science and image processing technology, 3D reconstruction and measurement of surface based on computer vision have become a research trends. However,for the weak texture surface,it is difficult to extract enough key points through general corner detection algorithms. Based on the principle of binocular stereo vision,this paper proposes a method of pasting circular markers to research 3D reconstruction of weak texture surface. This method can rich the surface's texture information used to feature extraction,so it can efficiently extract more key points. The results show that this proposed method is feasible and greatly improve 3D reconstruction of weak texture surface.

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 3rd International Conference on Mechatronics and Information Technology
Series
Advances in Computer Science Research
Publication Date
April 2016
ISBN
10.2991/icmit-16.2016.24
ISSN
2352-538X
DOI
10.2991/icmit-16.2016.24How 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  - Fang Fan
AU  - Zhenwei Wang
AU  - Shuangyin Liu
AU  - Ye Tian
PY  - 2016/04
DA  - 2016/04
TI  - 3D Reconstruction of Weak Texture Surface Based On Binocular Vision
BT  - Proceedings of the 2016 3rd International Conference on Mechatronics and Information Technology
PB  - Atlantis Press
SP  - 125
EP  - 128
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmit-16.2016.24
DO  - 10.2991/icmit-16.2016.24
ID  - Fan2016/04
ER  -