激光与光电子学进展, 2019, 56 (9): 091403, 网络出版: 2019-07-05   

一种基于高斯映射的三维点云特征线提取方法 下载: 1368次

Method for Extraction of Feature Lines of Three-Dimensional Laser Point Cloud Based on Gaussian Map
作者单位
武汉理工大学资源与环境工程学院, 湖北 武汉 430000
引用该论文

徐卫青, 陈西江, 章光, 袁俏俏. 一种基于高斯映射的三维点云特征线提取方法[J]. 激光与光电子学进展, 2019, 56(9): 091403.

Weiqing Xu, Xijiang Chen, Guang Zhang, Qiaoqiao Yuan. Method for Extraction of Feature Lines of Three-Dimensional Laser Point Cloud Based on Gaussian Map[J]. Laser & Optoelectronics Progress, 2019, 56(9): 091403.

参考文献

[1] 戴升山, 李田凤. 地面三维激光扫描技术的发展与应用前景[J]. 现代测绘, 2009, 32(4): 11-12, 15.

    Dai S S, Li T F. The development and application prospects of ground three-dimensional laser scan technology[J]. Modern Surveying and Mapping, 2009, 32(4): 11-12, 15.

[2] 张立朔, 程效军. 基于激光点云的隧道形变分析方法[J]. 中国激光, 2018, 45(4): 0404004.

    Zhang L S, Cheng X J. Tunnel deformation analysis based on lidar points[J]. Chinese Journal of Lasers, 2018, 45(4): 0404004.

[3] 章涛, 陈西江. 利用三维激光扫描技术监测桥梁振幅[J]. 激光与光电子学进展, 2018, 55(5): 051409.

    Zhang T, Chen X J. Bridge amplitude monitoring with three-dimensional laser scanning technology[J]. Laser & Optoelectronics Progress, 2018, 55(5): 051409.

[4] 张宏伟, 赖百炼. 三维激光扫描技术特点及其应用前景[J]. 测绘通报, 2012, S1: 320-322, 337.

    Zhang H W, Lai B L. Characteristics and application prospect of three-dimensional laser scanning technology[J]. Bulletin of Surveying and Mapping, 2012, S1: 320-322, 337.

[5] 张雨禾. 散乱点云特征提取方法与部位缺损文物碎片拼接技术研究[D]. 西安: 西北大学, 2017.

    Zhang YH. Research on feature extraction method of scattered point clouds and technology of fragments splicing of site defect[D]. Xi'an:Northwest University, 2017.

[6] 肖杨, 胡少兴, 肖深, 张爱武. 从三维激光点云中快速统计树木信息的方法[J]. 中国激光, 2018, 45(5): 0510007.

    Xiao Y, Hu S X, Xiao S, et al. A fast statistical method of tree information from 3D laser point clouds[J]. Chinese Journal of Lasers, 2018, 45(5): 0510007.

[7] 钱锦锋, 陈志杨, 张三元, 等. 点云数据压缩中的边界特征检测[J]. 中国图象图形学报, 2005, 10(2): 164-169.

    Qian J F, Chen Z Y, Zhang S Y, et al. The detection of boundary point of point cloud compression[J]. Journal of Image and Graphics, 2005, 10(2): 164-169.

[8] Daniels JI, Ha LK, OchottaT, et al. Robust smooth feature extraction from point clouds[C]∥Proceedings of IEEE International Conference on Shape Modeling and Applications, 2007: 123- 136.

[9] 陈朋, 谭晔汶, 李亮. 地面三维激光扫描建筑物点云特征线提取[J]. 激光杂志, 2016, 37(3): 9-11.

    Chen P, Tan Y W, Li L. Extraction of building's feature lines based on 3D terrestrial laser scanning[J]. Laser Journal, 2016, 37(3): 9-11.

[10] Wang JH, LindenberghR, Shen YQ, et al. Coarse point cloud registration by egi matching of voxel clusters[J]. ISPRS Annals of the Photogrammetry, RemoteSensing and Spatial InformationSciences, 2016, III-5: 97- 103.

[11] Demarsin K, Vanderstraeten D, Volodine T, et al. Detection of closed sharp edges in point clouds using normal estimation and graph theory[J]. Computer-Aided Design, 2007, 39(4): 276-283.

[12] 史皓良, 吴禄慎, 余喆琦, 等. 散乱点云数据特征信息提取算法[J]. 计算机工程, 2017, 43(8): 279-283.

    Shi H L, Wu L S, Yu Z Q, et al. Algorithm for feature information extraction from scattered point cloud data[J]. Computer Engineering, 2017, 43(8): 279-283.

[13] 王大莹, 程新文, 郑艳丽, 等. 在Matlab平台下基于形态学方法对LIDAR数据进行建筑物边缘提取[J]. 测绘科学, 2010, 35(1): 172-173, 92.

    Wang D Y, Cheng X W, Zheng Y L, et al. Mathematic morphology-based building edge detection under Matlab platform[J]. Science of Surveying and Mapping, 2010, 35(1): 172-173, 92.

[14] 邹万红, 陈志杨, 叶修梓, 等. 一种新的点云数据特征骨架提取方法[J]. 浙江大学学报(工学版), 2008, 42(12): 2103-2107.

    Zou W H, Chen Z Y, Ye X Z, et al. A new method for extracting feature skeleton from point cloud[J]. Journal of Zhejiang University (Engineering Science), 2008, 42(12): 2103-2107.

[15] Calinski T, Harabasz J. A dendrite method for cluster analysis[J]. Communications in Statistics-Simulation and Computation, 1974, 3(1): 1-27.

[16] Dimitriadou E. Dolni ar S, Weingessel A. An examination of indexes for determining the number of clusters in binary data sets [J]. Psychometrika, 2002, 67(3): 137-159.

[17] Dudoit S, Fridlyand J. A prediction-based resampling method for estimating the number of clusters in a dataset[J]. Genome Biology, 2002, 3(7): 1-21.

[18] 周世兵, 徐振源, 唐旭清. 新的K-均值算法最佳聚类数确定方法[J]. 计算机工程与应用, 2010, 46(16): 27-31.

    Zhou S B, Xu Z Y, Tang X Q. New method for determining optimal number of clusters in K-means clustering algorithm[J]. Computer Engineering and Applications, 2010, 46(16): 27-31.

徐卫青, 陈西江, 章光, 袁俏俏. 一种基于高斯映射的三维点云特征线提取方法[J]. 激光与光电子学进展, 2019, 56(9): 091403. Weiqing Xu, Xijiang Chen, Guang Zhang, Qiaoqiao Yuan. Method for Extraction of Feature Lines of Three-Dimensional Laser Point Cloud Based on Gaussian Map[J]. Laser & Optoelectronics Progress, 2019, 56(9): 091403.

本文已被 2 篇论文引用
被引统计数据来源于中国光学期刊网
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!