A novel hybrid approach for the extraction of linear/cylindrical features from laser scanning data

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Volumn 2, Issue 5W2, 2013, Pages 151-156

  Lari, Z ^a   Habib, A ^a  

^a UNIVERSITY OF CALGARY   (Canada)

Author keywords

Feature extraction; Laser scanning; Modelling; Performance; Point cloud; Segmentation

Indexed keywords

EID: 84902346506     PISSN: 21949042     EISSN: 21949050     Source Type: Conference Proceeding    
DOI: 10.5194/isprsannals-II-5-W2-151-2013     Document Type: Conference Paper

References (14)

1. Belton, D. And Lichti, D., 2006. Classification and segmentation of terrestrial laser scanner point clouds using local variance Information. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVI(5), pp. 44-49.
2. Bolles, R. C. And Fischler, M. A., 1981. A ransac-based approach to model fitting and its application to finding cylinders in range data. Proceedings of the 7th International Joint Conferences on Artificial Intelligence, Vancouver, Canada, pp. 637-643.
3. Chaperon, T. And Goulette, F., 2001. Extracting cylinders in full 3D data using a random sampling method and the gaussian image. Proceedings of Vision, Modelling and Visualisation, University of Stuttgart, Germany, pp. 35-42.
4. El-Halawany, S. And Lichti, D., 2011. Detection of road poles from mobile terrestrial laser scanner point cloud. Proceedings of 2011 International Workshop on Multi-Platform/Multi-Sensor Remote Sensing and Mapping (M2RSM), Xiamen, China, pp.1-6
5. Fischler, M. A. And Bolles, R. C., 1987. Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Readings in Computer Vision: Issues, Problems, Principles, and Paradigms, Los Altos, CA., USA, pp. 726-740.
6. Gross, H. And Thoennessen, U., 2006. Extraction of lines from laser point clouds. International Archives Of Photogrammetry, Remote Sensing And Spatial Information Sciences, XXXVI(3).
7. Heipke, C., Mayer, H., Wiedemann, C., and Jamet, O., 1997. Evaluation of Automatic Road Extraction. International Archives of Photogrammetry and Remote Sensing, 47-56.
8. Kimme, C., Ballard, D. And Sklansky, J., 1975. Finding circles by an array of accumulators. Communications of ACM, 18(2), pp. 120-122.
9. Lukács, G., Martin, R., and Marshall, D., 1998. Faithful leastsquares fitting of spheres, cylinders, cones and tori for reliable segmentation. ECCV '98: Proceedings of the 5th European Conference on Computer Vision, Springer-Verlag, I, pp. 671-686.
10. Marshall, A. D., Lukács, G. And Martin, R. R., 2001. Robust segmentation of primitives from range data in the presence of geometric degeneracy. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(3), pp. 304-314.
11. Pauly, M., Gross, M., and Kobbelt, L. P., 2002. Efficient simplification of point-sampled surfaces. Proceedings of the Conference on Visualization, VIS '02, Washington, D.C., USA, pp. 163-170.
12. Rabbani, T. And van den Heuvel, F., 2005. Efficient Hough transform for automatic detection of cylinders in point clouds. Proceedings of the ISPRS Workshop Laser scanning 2005, Netherland, ISPRS Archives (XXXVI), pp.60-65.
13. Rabanni T., 2006. Automatic reconstruction of industrial installations using point clouds and images. PhD thesis. NCG, publication on Geodesy 62.
14. Vosselman, G., Gorte, B.G.H., Sithole, G., and Rabbani, T., 2004. Recognising structure in laser scanner point clouds. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 46 (part8/W2), pp. 33-38.