| 基于间接平差的ICP点云配准算法研究 |
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| 引用本文： | 于明旭. 基于间接平差的ICP点云配准算法研究[J]. 测绘与空间地理信息, 2020, 0(2): 38-40 |
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| 作者姓名： | 于明旭 |
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| 作者单位： | 江苏建筑职业技术学院 |
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| 基金项目： | 2018年度江苏省建设系统科技项目(2018ZD009);2017年江苏建筑职业技术学院科研课题(JYA317-12)资助。 |
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| 摘 要： | 点云配准精度是决定三维重建模型的质量因素之一,目前,最常用是ICP点云配准算法,经典的ICP算法易局部收敛,影响点云配准精度。本文提出基于间接平差的ICP点云配准算法,设定目标点集中目标点坐标与转入目标点集中的点坐标之间的距离阈值实现点云精确配准。通过与经典ICP算法对比可知,本算法在一定程度上提高了点云配准精度和速度。
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| 关 键 词： | 点云配准 间接平差 迭代最近点算法 距离阈值 |
Research on ICP Point Cloud Registration Algorithm Based on Indirect Adjustment |
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| YU Mingxu. Research on ICP Point Cloud Registration Algorithm Based on Indirect Adjustment[J]. Geomatics & Spatial Information Technology, 2020, 0(2): 38-40 |
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| Authors: | YU Mingxu |
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| Affiliation: | (Jiangsu Vocational Institute of Architectural Technology,Xuzhou 221116,China) |
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| Abstract: | Point cloud registration accuracy is one of the quality factors that determine the 3D reconstruction model. At present,the most commonly used is the ICP point cloud registration algorithm. The classic ICP algorithm is easy to locally converge and affects the point cloud registration accuracy. This paper proposes an ICP point cloud registration algorithm based on indirect adjustment,which sets the distance threshold between the target point coordinates in the target point set and the point coordinates in the target point set to achieve accurate point cloud registration. Compared with the classic ICP algorithm,this algorithm improves the accuracy and speed of point cloud registration to a certain extent. |
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| Keywords: | point cloud registration indirect adjustment iterative close point distance threshold |
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