Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications

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
https://doi.org/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.
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This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications
Series
Advances in Intelligent Systems Research
Publication Date
January 2016
ISBN
978-94-6252-162-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/icaita-16.2016.75How to use a DOI?
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  -