| 多视角三维激光点云全局优化整体配准算法 |
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| 引用本文： | 李彩林,郭宝云,季铮. 多视角三维激光点云全局优化整体配准算法[J]. 测绘学报, 2015, 44(2): 183-189. DOI: 10.11947/j.AGCS.2015.20130737 |
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| 作者姓名： | 李彩林 郭宝云 季铮 |
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| 作者单位： | 1. 山东理工大学 建筑工程学院, 山东 淄博 255049;2. 武汉大学 遥感信息工程学院, 湖北 武汉 430079 |
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| 基金项目： | 国家自然科学基金(41301518)；四川省地理国情监测工程技术研究中心资助项目(GC201512)；山东理工大学青年教师发展支持计划经费(114016)；山东理工大学博士科研基金(413042；413050)Foundation support The National Natural Science Foundation of China (No ．41301518 )； Geographic National ConditionMonitoring Engineering Research Center of Sichuan Province (No ．GC201512)；TheYoung Teacher Development Support Foundation of Shandong University of Technology (No ．114016)；Doctoral Scientific Research Foundation of Shandong University of Technology |
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| 摘 要： | 提出一种已知多视激光点云配准初值进行自动全局优化的整体配准算法,并详细推导了多视激光点云配准全局优化平差模型。本算法对多视角三维激光点云的扫描顺序不作要求,可以处理无序散乱的多视三维激光扫描点云,同时可以获得最小二乘意义下的最优变换参数,实现多视三维激光点云的自动精确配准。利用实际三维激光扫描点云数据进行试验,得到了预期的结果,验证了本文方法的可行性和有效性。
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| 关 键 词： | 多视三维激光点云 全局优化 点云配准 最小二乘平差 整体配准模型 |
| 收稿时间： | 2013-12-05 |
| 修稿时间： | 2014-10-20 |
Global Optimization and Whole Registration Algorithm of Multi-view 3D Laser Point Cloud |
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| LI Cailin , GUO Baoyun , JI Zheng. Global Optimization and Whole Registration Algorithm of Multi-view 3D Laser Point Cloud[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(2): 183-189. DOI: 10.11947/j.AGCS.2015.20130737 |
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| Authors: | LI Cailin GUO Baoyun JI Zheng |
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| Affiliation: | 1. Institute of Architecture and Engineering, Shandong University of Technology, Zibo 255049, China;2. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China |
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| Abstract: | A global optimization and whole registration algorithm of multi‐view 3D laser point cloud is presented .Detailed derivation of global optimization adjustment model of multi‐view laser point cloud is showed in this paper .This algorithm can handle disordered and scattered multi‐view3D laser point cloud , at the same time optimal transformation parameters can be obtained .Practical 3D laser point cloud data are exemplified for the feasibility and effectiveness of proposed methods . |
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| Keywords: | multiple-view3D laser point cloud global optimization point cloud registration least squares adjustment whole registration model |
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