Automatic 3D Facet Orientations Estimation from LiDAR Imaging
This paper presents our current research progress on automatic 3D facet orientations estimation from LIDAR imaging during the first year of the project period. During this project period, we have integrated robust Principal Component Analysis (PCA) based 3D surface normal estimation with the K-means clustering techniques to generate the main fracture surfaces orientations from LIDAR data. Our algorithm/software has been tested on the datasets obtained from several testing sites and the results are consistent with the manual measurements obtained by our collaborators.
Y. Duan et al., "Automatic 3D Facet Orientations Estimation from LiDAR Imaging," Proceedings of the NSF CMMI Engineering Research and Innovation Conference (2011, Atlanta GA), National Science Foundation, Jan 2011.
NSF CMMI Engineering Research and Innovation Conference (2011: Jan. 4-7, Atlanta GA)
Geosciences and Geological and Petroleum Engineering
Article - Conference proceedings
© 2011 National Science Foundation, All rights reserved.
07 Jan 2011