Detecting, fitting, and classifying surface primitives for infrastructure point cloud data

Computing in Civil Engineering - Proceedings of the 2013 ASCE International Workshop on Computing in Civil Engineering

Volumn , Issue , 2013, Pages 589-596

  Zhang, G ^a   Vela, P A ^a   Brilakis, I ^b  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); EIGENVALUES AND EIGENFUNCTIONS; MATHEMATICAL TRANSFORMATIONS; TREES (MATHEMATICS);

EMBEDDED SURFACES; EXPERIMENTAL VALIDATIONS; LINEAR TRANSFORM; MODEL PARAMETERS; PARAMETER MATRICES; POINT CLOUD DATA; SUBSPACE LEARNING; SURFACE CLASSIFICATION;

SINGULAR VALUE DECOMPOSITION;

EID: 84887369290     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/9780784413029.074     Document Type: Conference Paper

References (17)

1. Zhang, G., Karasev, P., Brilakis, I., Vela, P.A. (2012). Sparsity-Inducing Optimization Algorithm for the Extraction of Planar Structures in Noisy Point-Cloud Data. Proc. IWCCE, July.
2. Sundar, H., Silver, D., Gagvani, N., Dickinson, S. (2003), Skeleton based shape matching and retrieval. Proc. Shape Modeling Applications Conf., June.
3. Tung, T., Schmitt, F. (2004). Augmented Reeb graphs for content-based retrieval of 3D mesh models. Proc. Shape Modeling Applications Conf., June.
4. Kuo, C. T., Cheng, S. C. (2007). 3D model retrieval using principal plane analysis and dynamic programming. Pattern Recognition, 40(2): 742-755.
5. Tangelder, J. W., Veltkamp, R. C. (2008). A survey of content based 3D shape retrieval methods. Multimedia Tools and Applications, 39(3): 441-471.
6. Drost, B., Ulrich, M., Navab, N., Ilic, S. (2010). Model globally, match locally: Efficient and robust 3D object recognition. Proc. CVPR, June.
7. Johnson, A. E., Hebert, M. (1999). Using spin images for efficient object recognition in cluttered 3D scenes. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 21(5): 433-449.
8. Chen, H., Bhanu, B. (2007). 3D free-form object recognition in range images using local surface patches. Pattern Recognition Letters, 28(10): 1252-1262. (Pubitemid 46710181)
9. Rusu, R. B., Blodow, N., Beetz, M. (2009). Fast point feature histograms (FPFH) for 3D registration. Proc. ICRA, May.
10. Mian, A. S., Bennamoun, M., Owens, R. (2006). Three-dimensional model-based object recognition and segmentation in cluttered scenes. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 28(10): 1584-1601. (Pubitemid 46405079)
11. Rabbani, T., Van Den Heuvel, F. (2005). Efficient Hough transform for automatic detection of cylinders in point clouds. ISPRS WG III/3, III/4, (3): 60-65.
12. Zaharia, T., Preteux, F. J. (2001). Hough transform-based 3D mesh retrieval. Proc. International Symposium on Optical Science and Technology, November.
13. Schnabel, R., Wahl, R., Klein, R. (2007). Efficient RANSAC for Point-Cloud Shape Detection. Computer Graphics Forum, 26(2): 214-226, June (Pubitemid 46792073)
14. Ma, Y., Derksen, H., Hong, W., Wright, J. (2007). Segmentation of multivariate mixed data via lossy data coding and compression. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 29(9): 1546-1562. (Pubitemid 47299910)
15. Torr, P. H., Zisserman, A. (2000). MLESAC: A new robust estimator with application to estimating image geometry. Computer Vision and Image Understanding, 78(1), 138-156. (Pubitemid 30596414)
16. Choi, S., Kim, T., Yu, W. (2009). Performance evaluation of RANSAC family. In Proc. British Machine Vision Conference, Sept.
17. Furukawa, Y., Ponce, J. (2010). Accurate, dense, and robust multiview stereopsis. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 32(8): 1362-1376.