Autonomic point cloud-based surface reconstruction using SVR

References

• Varady T, Martin RR, Cox J. Reverse engineering of geometric models - an introduction. Comput Aided Design. 1997;29(4):255–268. doi: 10.1016/S0010-4485(96)00054-1
   Web of Science ®Google Scholar
• Krinidis M, Nikolaidis N, Pitas I. 3-d head pose estimation in monocular video sequences using deformable surfaces and radial basis functions. IEEE T Circ Syst Vid. 2009;19(2):261–272. doi: 10.1109/TCSVT.2008.2009261
   Web of Science ®Google Scholar
• Kineri Y, Wang M, Lin H, et al. B-spline surface fitting by iterative geometric interpolation/approximation algorithms. Comput Aided Design. 2012;44(7):697–708. doi: 10.1016/j.cad.2012.02.011
   Web of Science ®Google Scholar
• Deng C, Lin H. Progressive and iterative approximation for least squares B-spline curve and surface fitting. Comput Aided Design. 2014;47:32–44. doi: 10.1016/j.cad.2013.08.012
   Web of Science ®Google Scholar
• Iglesias A, Echevarría G, Gálvez A. Functional networks for B-spline surface reconstruction. Future Gener Comp Sy. 2004;20(8):1337–1353. doi: 10.1016/j.future.2004.05.025
   Web of Science ®Google Scholar
• Zhang L, Li Y, Song J, et al. A method for surface reconstruction from cloud points based on segmented support vector machine. Young Computer Scientists, 2008. ICYCS 2008. The 9th International Conference for, IEEE; 2008. p. 781–785.
   Google Scholar
• Nakagawa Y, Uchiyama H, Nagahara H, et al. Estimating surface normals with depth image gradients for fast and accurate registration. 3D Vision (3DV), 2015 International Conference on, IEEE; 2015. p. 640–647.
   Google Scholar
• Cohen-Steiner D, Da F. A greedy Delaunay-based surface reconstruction algorithm. Visual Comput. 2004;20(1):4–16. doi: 10.1007/s00371-003-0217-z
   Web of Science ®Google Scholar
• Merigot Q, Ovsjanikov M, Guibas LJ. Voronoi-based curvature and feature estimation from point clouds. IEEE T Vis Comput Gr. 2011;17(6):743–756. doi: 10.1109/TVCG.2010.261
   PubMed Web of Science ®Google Scholar
• Yu S, Lhuillier M. Genus refinement of a manifold surface reconstructed by sculpting the 3d-Delaunay triangulation of structure-from-motion points. Pattern Recognition (ICPR), 2012 21st International Conference on, IEEE; 2012. p. 1021–1025.
   Google Scholar
• Xu T, Wei N, Dong F, et al. Estimating discrete surface curvature based on Voronoi poles. Intelligent System Design and Engineering Applications (ISDEA), 2013 Third International Conference on, IEEE; 2013. p. 716–719.
   Google Scholar
• Amenta N, Bern M, Kamvysselis M. A new voronoi-based surface reconstruction algorithm. Proceedings of the 25th Annual Conference on Computer graphics and Interactive Techniques, ACM; 1998. p. 415–421.
   Google Scholar
• Zhou D, Xu Y, Zhang Q, et al. A new triangulation algorithm from 3d unorganized dense point cloud. TENCON 2015-2015 IEEE Region 10 Conference, IEEE; 2015. p. 1–6.
   Google Scholar
• Jin X. Artificial joint surface fitting based on moving least squares methods. Internet Technology and Applications, 2010 International Conference on, IEEE; 2010. p. 1–4.
   Google Scholar
• Hu Y, Yan J, Li W, et al. A novel facial localization for three-dimensional face using multi-level partition of unity implicits. Pattern Recognition (ICPR), 2010 20th International Conference on, IEEE; 2010. p. 682–685.
   Google Scholar
• Kim Y-K, Lee G-H, Hong J-P, et al. Prediction of torque characteristic on barrier-type srm using stochastic response surface methodology combined with moving least square. IEEE T Magn. 2004;40(2):738–741. doi: 10.1109/TMAG.2004.825453
   Web of Science ®Google Scholar
• Ren Y, Bai G. Determination of optimal svm parameters by using ga/pso. J Comput. 2010;5(8):1160–1168. doi: 10.4304/jcp.5.8.1160-1168
   Google Scholar
• Chang W. Surface reconstruction from points. San Diego: Department of Computer Science and Engineering, University of California; 2008.
   Google Scholar
• Comon P. Independent component analysis, a new concept? Signal Pr. 1994;36(3):287–314. doi: 10.1016/0165-1684(94)90029-9
   Web of Science ®Google Scholar
• Smola A, Vapnik V. Support vector regression machines. Adv Neural Inf Process Syst. 1997;9:155–161.
   Google Scholar
• Nurunnabi A, West G, Belton D. Robust locally weighted regression techniques for ground surface points filtering in mobile laser scanning three dimensional point cloud data. IEEE T Geosci Remote. 2016;54(4):2181–2193. doi: 10.1109/TGRS.2015.2496972
   Web of Science ®Google Scholar
• Digne J, Cohen-Steiner D, Alliez P, et al. Feature-preserving surface reconstruction and simplification from defect-laden point sets. J Math Imaging Vis. 2014;48(2):369–382. doi: 10.1007/s10851-013-0414-y
   Web of Science ®Google Scholar
• Huang H, Wu S, Cohen-Or D, et al. L1-medial skeleton of point cloud. ACM Trans. Graph. 2013;32(4):65-1.
   Web of Science ®Google Scholar
• Liu W, Cheung Y, Sabouri P, et al. A continuous surface reconstruction method on point cloud captured from a 3d surface photogrammetry system. Med Phys. 2015;42(11):6564–6571. doi: 10.1118/1.4933196
   PubMed Web of Science ®Google Scholar
• Yin K, Huang H, Zhang H, et al. Morfit: interactive surface reconstruction from incomplete point clouds with curve-driven topology and geometry control. ACM Trans Graph. 2014;33(6):202–1. doi: 10.1145/2661229.2661241
   Web of Science ®Google Scholar
• Qiu R, Zhou Q-Y, Neumann U. Pipe-run extraction and reconstruction from point clouds. European Conference on Computer Vision, Springer; 2014. p. 17–30.
   Google Scholar