Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science

Removing Redundancy Point Clouds Based on Multi-view Geometric

Authors
Junmin Lv, Jin Guo, Xiaoning Chen, Hongyan Xu
Corresponding Author
Junmin Lv
Available Online July 2015.
DOI
10.2991/lemcs-15.2015.2How to use a DOI?
Keywords
Structure light scanning; Redundancy points; Registration; Multiview geometric; SVD
Abstract

According to the problem of structure light measuring for registration, such as the low efficiency of three-dimensional modeling because of overlapping points, a removing redundancy points technology based on multi-epipolar line resolution had been explored out. The traditional method belonged to the post-processing point cloud. This algorithm was based on uniqueness of object point in multiview geometric constraint before the point cloud come out. First, the multiple view of the camera was unified to the global coordinate system. Then the three-dimensional point clouds after calculating was been on the back projection. The distance between the two points that was greater than the given threshold would be reserved and the projection residual larger point would be reserved to avoid redundant point generation. Experiment proves that the algorithm proposed can removing redundancy points effectively and improving the efficiency of three-dimensional modeling without reducing the scanning density and accuracy, detailed information of the surface with large curvity can also be preserved.

Copyright
© 2015, 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/).

Download article (PDF)

Volume Title
Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
978-94-6252-102-5
ISSN
1951-6851
DOI
10.2991/lemcs-15.2015.2How to use a DOI?
Copyright
© 2015, 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  - Junmin Lv
AU  - Jin Guo
AU  - Xiaoning Chen
AU  - Hongyan Xu
PY  - 2015/07
DA  - 2015/07
TI  - Removing Redundancy Point Clouds Based on Multi-view Geometric
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 6
EP  - 10
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-15.2015.2
DO  - 10.2991/lemcs-15.2015.2
ID  - Lv2015/07
ER  -