改进的RANSAC算法在三维点云配准中的应用 下载: 635次
刘美菊, 王旭东, 李凌燕, 高恩阳. 改进的RANSAC算法在三维点云配准中的应用[J]. 激光与光电子学进展, 2018, 55(10): 101104.
Liu Meiju, Wang Xudong, Li Lingyan, Gao Enyang. Improved Random Sampling Consistency Algorithm Employed in Three-Dimensional Point Cloud Registration[J]. Laser & Optoelectronics Progress, 2018, 55(10): 101104.
[1] Besl P J, McKay N D. A method for registration of 3-D shapes[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1992, 14(2): 239-256.
[2] 钟莹, 张蒙. 基于改进ICP算法的点云自动配准技术[J]. 控制工程, 2014, 21(1): 37-40.
Zhong Y,Zhang M. Point cloud automatic registration technology based on improved ICP algorithm[J]. Control Engineering, 2014, 21(1): 37-40.
[3] 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, 2016, 38(11): 2241-2254.
[4] 曾繁轩, 李亮, 刁鑫鹏. 基于曲率特征的迭代最近点算法配准研究[J]. 激光与光电子学进展, 2017, 54(1): 011003.
[5] Rusu R B, Blodow N, Beetz M. Fast point feature histograms (FPFH) for 3D registration[C]∥IEEE International Conference on Robotics and Automation, 2009: 3212-3217.
[6] Rusu R B, Blodow N, Marton Z C, et al. Aligning point cloud views using persistent feature histograms[C]∥IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008: 3384-3391.
[7] Tombari F, Salti S, Stefano L D. Unique signatures of histograms for local surface description[C]∥European Conference on Computer Vision, 2010: 356-369.
[8] Steder B, Rusu R B, Konolige K, et al. NARF: 3D range image features for object recognition[EB/OL]. [2018-03-22]. http:∥citeseerx.ist.psu.edu/viewdoc/summary doi=10.1.1.231.1701.
[9] Zhang Y, Yu H Y. 3D point cloud registration based on the assistant camera and Harris-SIFT[J]. Proceedings of SPIE, 2016, 10011: 100110U.
[10] 马骊溟, 徐毅, 李泽湘. 基于高斯曲率极值点的散乱点云数据特征点提取[J]. 系统仿真学报, 2008, 20(9): 2341-2344.
Ma L M, Xu Y, Li Z X. Extracting feature points for scattered points based on Gauss curvature extreme point[J]. Journal of System Simulation, 2008, 20(9): 2341-2344.
[11] 王丽辉, 袁保宗. 三维散乱点云模型的特征点检测[J]. 信号处理, 2011, 27(6): 932-938.
Wang L H, Yuan B Z. Feature point detection for 3D scattered point cloud model[J]. Signal Processing, 2011, 27(6): 932-938.
[12] 陆军, 彭仲涛, 夏桂华. 点云多法向量邻域特征配准算法[J]. 光电子·激光, 2015, 26(4): 780-787.
Lu J, Peng Z T, Xia G H. Point cloud multi-vector neighborhood registration algorithm[J]. Optoelectronics·Laser, 2015, 26(4): 780-787.
[13] 李仁忠, 杨曼, 田瑜, 等. 基于ISS特征点结合改进ICP的点云配准算法[J]. 激光与光电子学进展, 2017, 54(11): 111503.
[14] 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.
[15] 舒程珣, 何云涛, 孙庆科. 基于卷积神经网络的点云配准方法[J]. 激光与光电子学进展, 2017, 54(3): 031001.
[16] 曲天伟, 安波, 陈桂兰. 改进的RANSAC算法在图像配准中的应用[J]. 计算机应用, 2010, 30(7): 1849-1851.
Qu T W, An B, Chen G L. Application of improved RANSAC algorithm to image registration[J]. Journal of Computer Applications, 2010, 30(7): 1849-1851.
刘美菊, 王旭东, 李凌燕, 高恩阳. 改进的RANSAC算法在三维点云配准中的应用[J]. 激光与光电子学进展, 2018, 55(10): 101104. Liu Meiju, Wang Xudong, Li Lingyan, Gao Enyang. Improved Random Sampling Consistency Algorithm Employed in Three-Dimensional Point Cloud Registration[J]. Laser & Optoelectronics Progress, 2018, 55(10): 101104.