Automatic 3D Facet Orientations Estimation from LiDAR Imaging

Author

Y. Duan
L. Xiaoling
Norbert H. Maerz, Missouri University of Science and TechnologyFollow
J. H. Otoo

Abstract

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.

Recommended Citation

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.

Meeting Name

NSF CMMI Engineering Research and Innovation Conference (2011: Jan. 4-7, Atlanta GA)

Department(s)

Geosciences and Geological and Petroleum Engineering

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2011 National Science Foundation, All rights reserved.

Publication Date

07 Jan 2011