A Method for Automatic 3D Measurement of Unknown Objects Based on the Structured Light System
Authors
Qiang Zhao, Bingwei He, Liwei Zhang, Shengsheng Dong
Corresponding Author
Qiang Zhao
Available Online January 2016.
- DOI
- 10.2991/icaita-16.2016.75How to use a DOI?
- Keywords
- coordinate transformation; next best view; 3-D measurement; view planning
- Abstract
This paper proposes a novel approach to determine three-dimensional (3-D) model from a minimum number of viewpoint of an object. Calculating the position relation location of two coordinate system in order to splice the multi-view point cloud. The Next Best Views (NBV) is calculated by the visibility classification and Mean-shift algorithm and then the overall morphology of the measured object can be acquired. The view planning method not only reaches a fast measurement speed, but also possesses a high fidelity to the complex regions of the measured object by the experiments.
- 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 - Qiang Zhao AU - Bingwei He AU - Liwei Zhang AU - Shengsheng Dong PY - 2016/01 DA - 2016/01 TI - A Method for Automatic 3D Measurement of Unknown Objects Based on the Structured Light System BT - Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications PB - Atlantis Press SP - 304 EP - 308 SN - 1951-6851 UR - https://doi.org/10.2991/icaita-16.2016.75 DO - 10.2991/icaita-16.2016.75 ID - Zhao2016/01 ER -