CN110097582B - 一种点云优化配准与实时显示系统及工作方法 - Google Patents
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EP3975120B1 (en) * | 2020-09-24 | 2023-01-11 | Stryker European Operations Limited | Technique for guiding acquisition of one or more registration points on a patient's body |
CN112508767B (zh) * | 2020-12-14 | 2023-10-13 | 北京超星未来科技有限公司 | 一种基于gpu的gmm点云配准方法 |
CN114693696A (zh) * | 2020-12-29 | 2022-07-01 | 华为技术有限公司 | 一种点云数据处理方法及装置 |
CN112837354B (zh) * | 2021-02-02 | 2023-06-16 | 北京超星未来科技有限公司 | 一种基于gpu的ndt点云配准算法、装置及电子设备 |
CN113781531A (zh) * | 2021-07-27 | 2021-12-10 | 武汉市异方体科技有限公司 | 一种运动物体点云模型配准方法 |
CN114283046B (zh) * | 2021-11-19 | 2022-08-19 | 广州市城市规划勘测设计研究院 | 基于icp算法的点云文件配准方法、装置及存储介质 |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104112289A (zh) * | 2014-01-29 | 2014-10-22 | 辽宁师范大学 | 基于并行级联em-icp的三维物体点云配准方法 |
CN104463826A (zh) * | 2013-09-18 | 2015-03-25 | 镇江福人网络科技有限公司 | 一种新的点云并行Softassign配准算法 |
CN106504320A (zh) * | 2016-11-02 | 2017-03-15 | 华东师范大学 | 一种基于gpu及面向深度图像的实时三维重构方法 |
CN107204009A (zh) * | 2017-05-23 | 2017-09-26 | 哈尔滨工业大学 | 基于仿射变换模型cpd算法的三维点云配准方法 |
CN107862733A (zh) * | 2017-11-02 | 2018-03-30 | 南京大学 | 基于视线更新算法的大规模场景实时三维重建方法和系统 |
CN107886528A (zh) * | 2017-11-30 | 2018-04-06 | 南京理工大学 | 基于点云的配电线路作业场景三维重建方法 |
CN108564605A (zh) * | 2018-04-09 | 2018-09-21 | 大连理工大学 | 一种三维测量点云优化配准方法 |
CN109118582A (zh) * | 2018-09-19 | 2019-01-01 | 东北大学 | 一种商品三维重建系统及重建方法 |
CN109544612A (zh) * | 2018-11-20 | 2019-03-29 | 西南石油大学 | 基于特征点几何表面描述的点云配准方法 |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9280825B2 (en) * | 2014-03-10 | 2016-03-08 | Sony Corporation | Image processing system with registration mechanism and method of operation thereof |
US9292961B1 (en) * | 2014-08-26 | 2016-03-22 | The Boeing Company | System and method for detecting a structural opening in a three dimensional point cloud |
-
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- 2019-05-16 CN CN201910406933.3A patent/CN110097582B/zh active Active
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104463826A (zh) * | 2013-09-18 | 2015-03-25 | 镇江福人网络科技有限公司 | 一种新的点云并行Softassign配准算法 |
CN104112289A (zh) * | 2014-01-29 | 2014-10-22 | 辽宁师范大学 | 基于并行级联em-icp的三维物体点云配准方法 |
CN106504320A (zh) * | 2016-11-02 | 2017-03-15 | 华东师范大学 | 一种基于gpu及面向深度图像的实时三维重构方法 |
CN107204009A (zh) * | 2017-05-23 | 2017-09-26 | 哈尔滨工业大学 | 基于仿射变换模型cpd算法的三维点云配准方法 |
CN107862733A (zh) * | 2017-11-02 | 2018-03-30 | 南京大学 | 基于视线更新算法的大规模场景实时三维重建方法和系统 |
CN107886528A (zh) * | 2017-11-30 | 2018-04-06 | 南京理工大学 | 基于点云的配电线路作业场景三维重建方法 |
CN108564605A (zh) * | 2018-04-09 | 2018-09-21 | 大连理工大学 | 一种三维测量点云优化配准方法 |
CN109118582A (zh) * | 2018-09-19 | 2019-01-01 | 东北大学 | 一种商品三维重建系统及重建方法 |
CN109544612A (zh) * | 2018-11-20 | 2019-03-29 | 西南石油大学 | 基于特征点几何表面描述的点云配准方法 |
Non-Patent Citations (5)
Title |
---|
八叉树索引的三维点云数据压缩算法;姚顽强等;《测绘科学》;20160302(第07期);第18-22页 * |
基于EM-ICP的三维人脸简化点云并行配准算法;董琳等;《微型机与应用》;20130825(第16期);第38-41页 * |
基于GPU的实时三维点云数据配准研究;荆锐等;《计算机工程》;20121205(第23期);第198-202页 * |
基于并行粒子群优化的三维点云配准算法;贾志成等;《电视技术》;20160117(第01期);第36-41页 * |
基于激光扫描和SFM的非同步点云三维重构方法;陈辉等;《仪器仪表学报》;20160515(第05期);第1148-1157页 * |
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