Generating Orientated Point Clouds From RGB-D Sensor
Authors
W.B. Shan, Y. Yao, J.J. Liu, M. Guo
Corresponding Author
W.B. Shan
Available Online July 2015.
- DOI
- 10.2991/eame-15.2015.110How to use a DOI?
- Keywords
- RGB-D sensor; point clouds; normal estimation; 3D reconstruction
- Abstract
In order to reconstruct a surface by using the data from RGB-D sensor, this paper presents a viewpoint based method for estimating the orientation of point clouds. Firstly, a PCA method is used to compute the normal vector of each point. In this process, the orientation of the normal is determined by the viewpoint. Secondly, the point clouds generated from each frame are combined to an overall model with directional information. Finally, the quality of the model is further improved by a local smooth method. The experimental results show that the method can compute accurate normal vectors on the fly. Compared to current methods, it can estimate the sign of the normal automatically.
- 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 - W.B. Shan AU - Y. Yao AU - J.J. Liu AU - M. Guo PY - 2015/07 DA - 2015/07 TI - Generating Orientated Point Clouds From RGB-D Sensor BT - Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering PB - Atlantis Press SP - 391 EP - 393 SN - 2352-5401 UR - https://doi.org/10.2991/eame-15.2015.110 DO - 10.2991/eame-15.2015.110 ID - Shan2015/07 ER -