Affiliation:
1. Chinese Academy of Sciences
Abstract
The Point Cloud Library (PCL) is a good tool for point cloud data processing. In this paper, a method of 3D reconstruction for rock mass based on PCL is introduced, where hardware choosing, parallel computing, PCL, and edge extraction are analyzed and used in order to realize a better reconstruction effect, including both precision and speed. The reconstruction results can be used in engineering calculation.
Publisher
Trans Tech Publications, Ltd.
Reference15 articles.
1. X. Ran, L. Lin and H. Wei: Point Cloud Data Acquisition Based on Reverse Engineering Technology. Applied Mechanics and Materials. vol. 159 (2012), pp.186-190.
2. J.R. Chen: Research on 3-D Reconstruction from Point Cloud, Wuhan University of Technology. (2011), p.1.
3. Y.L. Xiao, Y. Lu and Y.G. Qi: NURBS Surface Reconstruction Based on Neural Network. Computer Technology and Development, vol. 19(9) (2009), pp.65-68.
4. H.W. Lin, C.L. Tai and G.J. Wang: A mesh reconstruction algorithm driven by an intrinsic property of a point cloud. Computer-Aided Design, vol. 36(1) (2003), pp.1-9.
5. R. Schnabel, R. Wahl, R. Klein, Efficient RANSAC for point-cloud shape detection. Computer Graphics Forum, Vol. 26(2) (2007), pp.214-226.