Robust segmentation for multiple planar surface extraction in laser scanning 3D point cloud data

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2012, Pages 1367-1370

  Nurunnabi, Abdul ^a   Belton, David ^a   West, Geoff ^a  

^a CURTIN UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

3D POINT CLOUD; BETTER PERFORMANCE; COMPLEX SURFACE; LASER SCANNING; LOCAL COVARIANCE; PLANAR SURFACE; POINT CLOUD; PRINCIPLE COMPONENT ANALYSIS; RELIABLE ESTIMATES; ROBUST PCA; ROBUST SEGMENTATION; ROBUST SEGMENTATION ALGORITHMS; TERRESTRIAL LASER SCANNING;

EXTRACTION; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; THREE DIMENSIONAL COMPUTER GRAPHICS;

IMAGE SEGMENTATION;

EID: 84874581759     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. D. Belton, and D. Lichti. Classification and segmentation of terrestrial laser scanner point clouds using local variance information. In IAPRS, XXXVI(5): 44-49, 2006.
2. J. Berkmann, and T. Caelli. Computation of surface geometry and segmentation using covariance techniques. IEEE TPAMI, 16(11): 1114-1116, 1994.
3. P. J. Besl, and R. C. Jain. Segmentation through variableorder surface fitting. IEEE TPAMI, 10(2): 167-192, 1988.
4. C. C. Chen, and I. Stamos. Range image segmentation for modeling and object detection in urban scenes, In 3-D DIM, pp. 185-192, Quebec, Canada, 2007.
5. T-J. Fan, G. Medioni, and R. Nevatia. Segmented descriptions of 3-D surfaces. IEEE Journal of Robotics and Automation, RA-3(6), 527-538, 1987.
6. M. Hubert, and P. J. Rousseeuw. ROBPCA: A new approach to robust principal component analysis. Technometrics, 47(1): 64-79, 2005.
7. Y. Liu, and Y. Xiong. Automatic segmentation of unorganized noisy point clouds based on the Gaussian map. Computer-Aided Design, 40: 576-594, 2008.
8. B. Oehler, J. Stueckler, J. Welle, D. Schulz, and S. Behnke. Efficient multi-resolution plane segmentation of 3D point clouds. In 4th ICIRA, Achen, Germany, 2011.
9. M. Pauly, M. Gross, and L. P. Kobbelt. Efficient simplification of point-sampled surface. In The Conf. on Visualization, Washington, 163-170. 2002.
10. J. Poppinga, N. Vaskevicius, A. Birk, and K. Pathak. Fast plane detection and polygonalization in noisy 3D range image. In IROS, Nice, France, IEEE Press, 2008.
11. T. Rabbani, F. A. van den Heuvel, and G. Vosselman. Segmentation of point clouds using smoothness constraint. In IAPRS, XXXVI (5): 248-253, 2006.
12. P. J. Rousseeuw, and K. V. Driessen. A fast algorithm for the minimum covariance determinant estimator. Technometrics, 41(3): 212-223, 1999.
13. R-W. Taylor, M. Savini, and A. P. Reeves, First segmentation of range imagery into planar regions. Computer Vision, Graphics, and Image Processing, 45: 42-60, 1989.
14. A. Nurunnabi, D. Belton, and G. West, Diagnosticrobust statistical analysis for local surface fitting in 3D point cloud data. In the XXII Congress of the ISPRS, August' 2012 Melbourne, Australia, In press.
15. H. Woo, E. Kang, S. Y. Wang, and K. H. Lee. A new segmentation method for point cloud data. Intl. J of Machine Tools & Manufacture, 42(2): 167-178, 2002.