激光与光电子学进展, 2019, 56 (8): 081005, 网络出版: 2019-07-26  

结合函数映射与循环一致性约束的模型簇对应关系计算 下载: 902次

Correspondence Calculation of Model Cluster by Functional Mapping Combined with Cycle-Consistency Constraints
作者单位
兰州交通大学电子与信息工程学院, 甘肃 兰州 730070
引用该论文

杨军, 雷鸣. 结合函数映射与循环一致性约束的模型簇对应关系计算[J]. 激光与光电子学进展, 2019, 56(8): 081005.

Jun Yang, Ming Lei. Correspondence Calculation of Model Cluster by Functional Mapping Combined with Cycle-Consistency Constraints[J]. Laser & Optoelectronics Progress, 2019, 56(8): 081005.

参考文献

[1] 李仁忠, 刘阳阳, 杨曼, 等. 基于改进的区域生长三维点云分割[J]. 激光与光电子学进展, 2018, 55(5): 051502.

    Li R Z, Liu Y Y, Yang M, et al. Three-dimensional point cloud segmentation algorithm based on improved region growing[J]. Laser & Optoelectronics Progress, 2018, 55(5): 051502.

[2] Huang Q X, Guibas L. Consistent shape maps via semidefinite programming[J]. Computer Graphics Forum, 2013, 32(5): 177-186.

[3] Pachauri D, Kondor R, Singhz V. Solving the multi-way matching problem by permutation synchronization[J]. Advances in Neural Information Processing Systems, 2013: 1860-1868.

[4] OvsjanikovM, CormanE, BronsteinM, et al. Computing and processing correspondences with functional maps[C] //SIGGRAPH Asia, [S. l. : S. n.], 2016: 9- 71.

[5] EynardD, RodolaE, GlashoffK, et al. Coupled functional maps[C] //2016 Fourth International Conference on 3D Vision (3DV), October 25-28, 2016, Stanford, CA, USA. New York: IEEE, 2016: 399- 407.

[6] 张哲, 许宏丽, 尹辉. 一种基于关键点选择的快速点云配准算法[J]. 激光与光电子学进展, 2017, 54(12): 121002.

    Zhang Z, Xu H L, Yin H. A fast point cloud registration algorithm based on key point selection[J]. Laser & Optoelectronics Progress, 2017, 54(12): 121002.

[7] Aflalo Y, Dubrovina A, Kimmel R. Spectral generalized multi-dimensional scaling[J]. International Journal of Computer Vision, 2016, 118(3): 380-392.

[8] Ovsjanikov M, Mérigot Q, Mémoli F, et al. One point isometric matching with the heat kernel[J]. Computer Graphics Forum, 2010, 29(5): 1555-1564.

[9] VestnerM, LitmanR, RodolaE, et al. Product manifold filter: Non-rigid shape correspondence via kernel density estimation in the product space[C] //2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA. New York: IEEE, 2017: 6681- 6690.

[10] Ovsjanikov M, Ben-Chen M, Solomon J, et al. Functional maps: A flexible representation of maps between shapes[J]. ACM Transactions on Graphics, 2012, 31(4): 1-11.

[11] CormanE, OvsjanikovM, ChambolleA. Supervised descriptor learning for non-rigid shape matching[C] //Corman E, Ovsjanikov M, Chambolle A. eds. Computer Vision - ECCV 2014 Workshops. Cham: Springer International Publishing, 2015: 283- 298.

[12] 熊风光, 霍旺, 韩燮, 等. 三维点云中关键点误匹配剔除方法[J]. 光学学报, 2018, 38(2): 0210003.

    Xiong F G, Huo W, Han X, et al. Removal method of mismatching keypoints in 3D point cloud[J]. Acta Optica Sinica, 2018, 38(2): 0210003.

[13] Maron H, Dym N, Kezurer I, et al. Point registration via efficient convex relaxation[J]. ACM Transactions on Graphics, 2016, 35(4): 73-85.

[14] Nogneng D, Melzi S, Rodola E, et al. Improved functional mappings via product preservation[J]. Computer Graphics Forum, 2018, 37(2): 179-190.

[15] Huang Q X, Wang F, Guibas L. Functional map networks for analyzing and exploring large shape collections[J]. ACM Transactions on Graphics, 2014, 33(4): 1-11.

[16] Sahillioglu Y, Yemez Y. Multiple shape correspondence by dynamic programming[J]. Computer Graphics Forum, 2014, 33(7): 121-130.

[17] Cosmo L, Rodola E, Albarelli A, et al. Consistent partial matching of shape collections via sparse modeling[J]. Computer Graphics Forum, 2017, 36(1): 209-221.

[18] Kamousi P, Lazard S, Maheshwari A, et al. Analysis of farthest point sampling for approximating geodesics in a graph[J]. Computational Geometry, 2016, 57: 1-7.

[19] Dijkstra E W. A note on two problems inconnexion with graphs[J]. Numerische Mathematik, 1959, 1(1): 269-271.

[20] RodolaE, MoellerM, Cremers D. Regularized pointwise map recovery from functional correspondence[EB/OL]. (2015-06-18)[2018-10-01]. https:∥arxiv.org/abs/1506.05603v1.10.1111/cgf.13160ac11267ad0656190c90bafd073de9753http%3A%2F%2Fonlinelibrary.wiley.com%2Fdoi%2F10.1111%2Fcgf.13160%2Fpdfhttp://onlinelibrary.wiley.com/doi/10.1111/cgf.13160/pdf

[21] Nogneng D, Ovsjanikov M. Informative descriptor preservation via commutativity for shape matching[J]. Computer Graphics Forum, 2017, 36(2): 259-267.

杨军, 雷鸣. 结合函数映射与循环一致性约束的模型簇对应关系计算[J]. 激光与光电子学进展, 2019, 56(8): 081005. Jun Yang, Ming Lei. Correspondence Calculation of Model Cluster by Functional Mapping Combined with Cycle-Consistency Constraints[J]. Laser & Optoelectronics Progress, 2019, 56(8): 081005.

引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!