The Library
High-precision registration of point clouds based on sphere feature constraints
Tools
Huang, Junhui, Wang, Zhao, Gao, Jianmin, Huang, Youping and Towers, David P. (2017) High-precision registration of point clouds based on sphere feature constraints. Sensors, 17 (1). 72. doi:10.3390/s17010072 ISSN 1424-8220.
|
PDF
WRAP_engineering-200317-wrap_-point_cloud_2017_sensors-17-00072.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (5Mb) | Preview |
Official URL: http://dx.doi.org/10.3390/s17010072
Abstract
Point cloud registration is a key process in multi-view 3D measurements. Its precision affects the measurement precision directly. However, in the case of the point clouds with non-overlapping areas or curvature invariant surface, it is difficult to achieve a high precision. A high precision registration method based on sphere feature constraint is presented to overcome the difficulty in the paper. Some known sphere features with constraints are used to construct virtual overlapping areas. The virtual overlapping areas provide more accurate corresponding point pairs and reduce the influence of noise. Then the transformation parameters between the registered point clouds are solved by an optimization method with weight function. In that case, the impact of large noise in point clouds can be reduced and a high precision registration is achieved. Simulation and experiments validate the proposed method.
Item Type: | Journal Article | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) | ||||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||||||
Library of Congress Subject Headings (LCSH): | Three-dimensional imaging, Measurement, Algorithms, Coordinates | ||||||||||
Journal or Publication Title: | Sensors | ||||||||||
Publisher: | MDPI AG | ||||||||||
ISSN: | 1424-8220 | ||||||||||
Official Date: | 2017 | ||||||||||
Dates: |
|
||||||||||
Volume: | 17 | ||||||||||
Number: | 1 | ||||||||||
Article Number: | 72 | ||||||||||
DOI: | 10.3390/s17010072 | ||||||||||
Status: | Peer Reviewed | ||||||||||
Publication Status: | Published | ||||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||||
Date of first compliant deposit: | 21 March 2017 | ||||||||||
Date of first compliant Open Access: | 21 March 2017 | ||||||||||
Funder: | Guo jia zi ran ke xue ji jin wei yuan hui (China) [National Natural Science Foundation of China] (NSFC) | ||||||||||
Grant number: | No. 61405156, No. 61377104 |
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |
Downloads
Downloads per month over past year