Fully automated as-built 3D pipeline segmentation based on curvature computation from laser-scanned data

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

Volumn , Issue , 2013, Pages 765-772

  Son, H ^a   Kim, C ^a  

^a Chung Ang University   (South Korea)

Author keywords

As built reconstruction, as built pipeline; Curvature computation; Industrial plant; Pipeline segmentation

Indexed keywords

IMAGE RECONSTRUCTION; INDUSTRIAL PLANTS; THREE DIMENSIONAL COMPUTER GRAPHICS;

3D PIPELINE MODELING; AS-BUILD RECONSTRUCTION, AS-BUILD PIPELINE; AS-BUILT RECONSTRUCTION; CURVATURE COMPUTATION; FULLY AUTOMATED; GROWING DEMAND; LASER SCANNED; PIPELINE SEGMENTATION; RECONSTRUCTION PROCESS; THREE-DIMENSIONAL (3-D) RECONSTRUCTION;

PIPELINES;

EID: 84887356899     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/9780784413029.096     Document Type: Conference Paper

References (14)

1. Bey, A., Chaine, R., Marc, R., Thibault, G., and Akkouche, S. (2011). "Reconstruction of consistent 3D CAD models from point cloud data using a priori CAD models." Proc. Int. Society for Photogrammetry and Remote Sensing Laser Scanning 2011, Calgary, Canada.
2. Chunmei, H., Qiusheng, Z., Wentao, Y., and Jingtang, Z. (2009). "Research on 3D reconstruction of petrochemical enterprise pipeline and its collision detection based on 3D-scanning technology." Proc. Int. Forum on Computer Science-Technology and Applications, Chongqing, China.
3. Ermes, P. (2000). "Constraints in CAD models for reverse engineering using photogrammetry." Proc. Int. Archives of the Photogrammetry and Remote Sensing, Amsterdam, Netherlands.
4. Farin, G. (1997). Curves and surfaces for computer-aided geometric design: A practical guide, Academic Press, New York, NY.
5. Gálvez, A., and Tglesias, A. (2012). "Particle swarm optimization for non-uniform rational B-spline surface reconstruction from clouds of 3D data points." Information Sciences, 192(1), 174-192.
6. Jin, X., and Lin, C. (2012). "Research on the whole process cost control methods of the chemical piping engineering." Advanced Materials Research, 383-390, 4286-4293.
7. Johnson, A. E., Hoffman, R., Osborn, J., Hebert, M. (1997). "A system for semiautomatic modeling of complex environments." Proc. Int. Conf. on Recent Advances in 3-D Digital Imaging and Modeling, Ottawa, Canada.
8. Kawashima, K., Kanai, S., and Date, H. (2011). "Automatic recognition of a piping system from large-scale terrestrial laser scan data." Proc. Int. Society for Photogrammetry and Remote Sensing Laser Scanning 2011, Calgary, Canada.
9. Masuda, H., Tanaka, I. (2010). "As-built 3D modeling of large facilities based on interactive feature editing." Computer-Aided Design and Applications, 7(3), 349-360.
10. Piegl, L., and Tiller, W. (1997). The NURBS book, Springer-Verlag, New York, NY.
11. Pottmann, H., Hofer, M., Odehnal, B., and Wallner, J. (2004). "Line geometry for 3D shape understanding and reconstruction." Proc., European Conf. on Computer Vision, Prague, Czech Republic.
12. Rabbani, T., Van den Heuvel, F., and Vosselman, G. (2006). "Segmentation of point clouds using smoothness constraint." Proc. ISPRS Commission V Symp. on Image Engineering and Vision Metrology, Dresden, Germany.
13. Veldhuis, H., and Vosselman, G. (1998). "The 3D reconstruction of straight and curved pipes using digital line photogrammetry." ISPRS Journal of Photogrammetry and Remote Sensing, 53(1), 6-16. (Pubitemid 28129583)
14. Zheng, G., and Moskal, L. M. (2012). "Spatial variability of terrestrial laser scanning based leaf area index." International Journal of Applied Earth Observation and Geoinformation, 19, 226-237.