A Method for Automatic 3D Measurement of Unknown Objects Based on the Structured Light System
Qiang Zhao, Bingwei He, Liwei Zhang, Shengsheng Dong
Available Online January 2016.
- https://doi.org/10.2991/icaita-16.2016.75How to use a DOI?
- coordinate transformation; next best view; 3-D measurement; view planning
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
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 - https://doi.org/10.2991/icaita-16.2016.75 ID - Zhao2016/01 ER -