[1] Lü S, Da F P, Huang Y. A fast and lossy compression algorithm for point-cloud models based on data type conversion[J]. Journal of Graphics, 37, 199-205(2016).
[2] Wu Y C, Cao Y P, Ji C J et al. Quantization errorr estraining of virtual structured-light three-dimensional data compression algorithm[J]. Laser & Optoelectronics Progress, 56, 151203(2019).
[3] Taubin G, Rossignac J. Geometric compression through topological surgery[J]. ACM Transactions on Graphics, 17, 84-115(1998).
[4] An X D, Yu X Q, Zhang Y F. Research on the self-similarity of point cloud outline for accurate compression[C]. //2015 International Conference on Smart and Sustainable City and Big Data (ICSSC), July 26-27, 2015, Shanghai, China, 170-174(2015).
[5] Sun X B, Ma H, Sun Y X et al. A novel point cloud compression algorithm based on clustering[J]. IEEE Robotics and Automation Letters, 4, 2132-2139(2019).
[6] Cao C K, Zhang C Y, Wang G P. Precision controllable point clouds compression using global similarity in dictionary[J]. Journal of Computer-Aided Design & Computer Graphics, 31, 869-877(2019).
[7] Du Z M, Geng G H. Three dimensional geometric signal compression method based on compressed sensing[C]. //2011 International Conference on Image Analysis and Signal Processing, December 21-23, 2011, Hubei, China., 62-66(2011).
[8] Li J T, Cheng X J, Yang Z X et al. Curvature-grading-based compression for point cloud data[J]. Laser & Optoelectronics Progress, 56, 142801(2019).
[9] Donoho D L. Compressed sensing[J]. IEEE Transactions on Information Theory, 52, 1289-1306(2006).
[10] Lei L T, Li G, Jiang C S et al. Sparsity variable step-size adaptive compressive sampling matching pursuit algorithm based on CS[J]. Computer Applications and Software, 37, 260-264(2020).
[11] Xu F, Sun J, Liu S J. Sampling optimization method for acoustic field reconstruction based on genetic algorithm[J]. Computer Science, 47, 304-309(2020).
[12] Du Z M, Li H A, Kang B S et al. Recovery method of compressed sensing signals based on quadratic convergence regularization with a smooth function[J]. Journal of Image and Graphics, 21, 490-498(2016).
[13] Huang K Y, Tang Y C, Zou X J et al. Poisson surface reconstruction algorithm based on improved normal orientation[J]. Laser & Optoelectronics Progress, 56, 141005(2019).
[14] Schnabel R, Klein R. Octree-based point cloud compression[C]. //3rd Symposium on Point Based Graphics, July 29-30, 2006, Boston, Massachusetts, USA, 15, 111-120(2006).
[15] Sorkine O, Cohen-Or D. Least-squares meshes[C]. //Proceedings Shape Modeling Applications, 2004, June 7-9, 2004, Genova, Italy., 191-199(2004).
[16] Edelman A. The probability that a random real Gaussian matrix hask real eigenvalues, related distributions, and the circular law[J]. Journal of Multivariate Analysis, 60, 203-232(1997).
[17] Guo Q P, Wang W C, Xiang P C et al. Advances in ill-posed problems[J]. Journal of Wuhan University of Technology, 25, 12-15(2001).
[18] Mallat S G, Zhang Z F. Matching pursuits with time-frequency dictionaries[J]. IEEE Transactions on Signal Processing, 41, 3397-3415(1993).
[19] Tropp J A, Gilbert A C. Signal recovery from random measurements via orthogonal matching pursuit[J]. IEEE Transactions on Information Theory, 53, 4655-4666(2007).
[20] Zhang W H, Huang B X, Zhou T. An improvement on stomp for sparse solution of linear underdetermined problems[C]. //Proceedings of the 32nd Chinese Control Conference, July 26-28, 2013, Xi’an, China., 1951-1956(2013).
[21] Needell D, Vershynin R. Signal recovery from incomplete and inaccurate measurements via regularized orthogonal matching pursuit[J]. IEEE Journal of Selected Topics in Signal Processing, 4, 310-316(2010).
[22] Du Z M. Research of key techniques on statistical craniofacial reconstruction[D], 83-86(2012).