测绘通报 ›› 2025, Vol. 0 ›› Issue (6): 68-72.doi: 10.13474/j.cnki.11-2246.2025.0612

• 学术研究 • 上一篇    

基于ICP算法和Bursa模型改进的点云配准算法

张明敏1, 胡秋宝2, 黄团冲2, 柳义成1, 郑金鑫1   

  1. 1. 交通运输部天津水运工程科学研究所, 天津 300452;
    2. 江西省港口集团有限公司九江港口项目建设指挥部, 江西 九江 332000
  • 收稿日期:2024-10-08 发布日期:2025-07-04
  • 作者简介:张明敏(1991—),男,硕士,工程师,研究方向为点云数据处理。E-mail:2570983389@qq.com
  • 基金资助:
    国家重点研发计划(2023YFB3907200);江西省交通运输厅科技项目(2023C0010)

Improved point cloud registration algorithm based on ICP algorithm and bursa model

ZHANG Mingmin1, HU Qiubao2, HUANG Tuanchong2, LIU Yicheng1, ZHENG Jinxin1   

  1. 1. Tianjin Research Institute for Water Transport Engineering, M. O. T., Tianjin 300452, China;
    2. Jiujiang Port Project Construction Headquarters, Jiangxi Port Group Co., Ltd., Jiujiang 332000, China
  • Received:2024-10-08 Published:2025-07-04

摘要: 针对Bursa模型仅适用于小角度点云配准的问题,本文结合ICP算法提出了一种改进的点云配准算法。首先通过ICP算法对点云进行粗配准,迭代旋转、平移源点集直至收敛结果满足Bursa模型的使用要求;然后基于间接平差原理,使用Bursa模型完成源点集精确配准。试验表明,该算法配准结果的RMSE均小于0.010m,不仅弥补了Bursa模型适用范围的局限性,而且相对于传统ICP算法,配准精度在XYZ方向分别提高了97.8%、95.8%、96.5%。

关键词: ICP, Bursa模型, 点云配准, RMSE

Abstract: This paper proposes an improved point cloud registration algorithm based on the iterative closest point(ICP)algorithm to address the issue that the Bursa model is only suitable for small angle point cloud registration.Firstly, rough registration of the point cloud is performed using the ICP algorithm, and the source point set is iteratively rotated and translated until the convergence result meets the requirements for using the Bursa model.Then, based on the principle of indirect adjustment, the Bursa model is used to achieve accurate registration of the source point set.The experiment shows that the root mean squared error(RMSE)for accurate registration results of ICP-Bursa algorithm is less than 0.010 m, which not only compensates for the limitations of the applicability of the Bursa model, but also improves the registration accuracy of the traditional ICP algorithm by 97.8%, 95.8%, and 96.5% in the X-axis, Y-axis, and Z-axis directions, respectively.

Key words: ICP, Bursa model, point cloud registration, RMSE

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