Acta Optica Sinica, Volume. 40, Issue 6, 0615001(2020)
Skull Point Cloud Registration Algorithm Based on Hierarchical Optimization Strategy
[2] Gardner R J, Kiderlen M. Anew algorithm for 3D reconstruction from support functions[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31, 556-562(2009).
[3] Tam G K L, Cheng Z Q, Lai Y K et al. Registration of 3Dpoint clouds and meshes: a survey from rigid to nonrigid[J]. IEEE Transactions on Visualization and Computer Graphics, 19, 1199-1217(2013).
[4] Alsadik B, Gerke M, Vosselman G et al. Minimal camera networks for 3D image based modeling of cultural heritage objects[J]. Sensors, 14, 5785-5804(2014).
[5] Herráez J, Martínez J C, Coll E et al. 3D modeling by means ofvideogrammetry and laser scanners for reverse engineering[J]. Measurement, 87, 216-227(2016).
[6] van der Jeught S, Dirckx J J J. Real-time structured light profilometry: a review[J]. Optics and Lasers in Engineering, 87, 18-31(2016).
[7] Besl P J. McKay N D. A method for registration of 3D shapes[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 14, 239-256(1992).
[8] Johnson A E, Bing Kang S. Registration and integration of textured 3D data1[J]. Image and Vision Computing, 17, 135-147(1999).
[9] Park S Y, Subbarao M. An accurate and fast point-to-plane registration technique[J]. Pattern Recognition Letters, 24, 2967-2976(2003).
[11] Liu Y H. Automatic registration of overlapping 3D point clouds using closest points[J]. Image and Vision Computing, 24, 762-781(2006).
[13] Mavridis P, Andreadis A[J]. Papaioannou G. Efficient sparse ICP.Computer Aided Geometric Design, 35/36, 16-26(2015).
[14] Attia M, Slama Y. Efficientinitial guess determination based on 3D point cloud projection for ICP algorithms. [C]∥2017 International Conference on High Performance Computing & Simulation (HPCS), July 17-21, 2017. Genoa, Italy. IEEE(2017).
[15] Rusu R B, Blodow N, Beetz M. Fastpoint feature histograms (FPFH) for 3D registration. [C]∥2009 IEEE International Conference on Robotics and Automation, May 12-17, 2009. Kobe. IEEE(2009).
[16] Tombari F. Salti S, di Stefano L. Unique signatures of histograms for local surface description[M]. ∥Computer Vision-CCV 2010. Berlin, Heidelberg: Springer Berlin Heidelberg, 356-369(2010).
[17] Wyngaerd J V, van Gool L, Kock R et al. Invariant-based registration of surface patches. [C]∥Proceedings of the Seventh IEEE International Conference on Computer Vision, September 20-27, 1999. Kerkyra, Greece. IEEE(1999).
[18] Cheng L, Tong L H, Li M C et al. Semi-automatic registration of airborne and terrestrial laser scanning data using building corner matching with boundaries as reliability check[J]. Remote Sensing, 5, 6260-6283(2013).
[19] Jiang J, Cheng J, Chen X L. Registration for 3D point cloud using angular-invariant feature[J]. Neurocomputing, 72, 3839-3844(2009).
[20] Daniels J, Ochotta T. HaL K, et al. Spline-based feature curves from point-sampled geometry[J]. The Visual Computer, 24, 449-462(2008).
[21] Liao Y J, Xu F, Zhao X L et al. A point cloud registration method based on point cloud region and application samples[M]. ∥Communications in Computer and Information Science. Berlin, Heidelberg: Springer Berlin Heidelberg, 216-227(2014).
[25] Zhao F Q, Zhou M Q, Geng G H et al. Rigid blocks matching method based on contour curves and feature regions[J]. IET Computer Vision, 12, 76-85(2018).
[26] Izumiya S, Nabarro A C. Sacramento A D J. Pseudo-spherical normal Darboux images of curves on a timelike surface in three dimensional Lorentz-Minkowski space[J]. Journal of Geometry and Physics, 97, 105-118(2015).
[27] Huang J H, Wang Z, Gao J M et al. High-precision registration of point clouds based on sphere feature constraints[J]. Sensors, 17, 1-14(2016).
[28] Zhu L P, Liu X N, Liu X L et al. Hierarchical skull registration method with an iterative factor[J]. Journal of Image and Graphics, 22, 523-531(2017).
[29] Shi C Y, Liu X N, Luo X H et al. Three dimensional skull registration automatically based on partition and improved ICP[J]. Journal of Chinese Computer Systems, 39, 631-637(2018).
[30] Zhao F Q, Zhou M Q, Geng G H. Local feature registration method of skull point cloud model[J]. Journal of Image and Graphics, 22, 1120-1127(2017).
[31] Sinko M, Kamencay P, Hudec R et al. 3D registration of the point cloud data using ICP algorithm in medical image analysis. [C]∥2018 ELEKTRO, May 21-23, 2018. Mikulov. IEEE(2018).
[32] Guan Y L, Cheng X J, Shi G G. A robust method for fitting a plane to point clouds[J]. Journal of Tongji University(Natural Science), 36, 981-984(2008).
[33] Cheng Z Q, Wang Y Z, Li B et al. A survey of methods for moving least squares surfaces. [C]∥Proceedings of the Eurographics/IEEE VGTC Workshop on Volume Graphics 2008, Los Angeles, California, USA, 2008. IEEE(2008).
[34] Hoppe H. DeRose T, Duchamp T, et al. Surface reconstruction from unorganized points[J]. ACM SIGGRAPH Computer Graphics, 26, 71-78(1992).
[35] Rusinkiewicz S, Levoy M. Efficient variants of the ICP algorithm[C]∥Proceedings Third International Conference on 3D Digital Imaging and Modeling, Quebec City, Que., Canada. IEEE Comput. Soc..
[36] Nishino K, Ikeuchi K. Robust simultaneous registration of multiple range images comprising a large number of points[J]. Electronics and Communications in Japan (Part II: Electronics), 87, 61-74(2004).
[37] Zhao F Q, Geng G H. Skull registration method based on hole contour lines[J]. Journal of Northwest University(Natural Science Edition), 48, 527-532(2018).
[38] Fischler M A, Bolles R C. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography[J]. Readings in Computer Vision, 726-740(1987).
[39] Chum O, Matas J, Kittler J. Locally optimized RANSAC[M]. ∥Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg, 236-243(2003).
[40] Aiger D, Mitra N J, Cohen-Or D. 4-points congruent sets for robust pairwise surface registration[J]. ACM Transactions on Graphics, 27, 1(2008).
[42] Yang J L, Li H D, Campbell D et al. Go-ICP: a globally optimal solution to 3D ICP point-set registration[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38, 2241-2254(2016).
[43] Ji S J, Ren Y C, Ji Z et al. An improved method for registration of point cloud[J]. Optik, 140, 451-458(2017).
[44] Liu X H, Geng N, Zhang Z Y et al. Plant point cloud registration based on improved IRLS-ICP algorithm[J]. Computer Engineering and Design, 40, 1964-1970(2019).
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Wen Yang, Mingquan Zhou, Xiangkui Zhang, Guohua Geng, Xiaoning Liu, Yangyang Liu. Skull Point Cloud Registration Algorithm Based on Hierarchical Optimization Strategy[J]. Acta Optica Sinica, 2020, 40(6): 0615001
Category: Machine Vision
Received: Oct. 20, 2019
Accepted: Nov. 30, 2019
Published Online: Mar. 6, 2020
The Author Email: Mingquan Zhou (nwuzmq@163.com)