| 基于特征点匹配及提纯的点云配准算法 |
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| 引用本文： | 黄高锋,陈义,符宏伟.基于特征点匹配及提纯的点云配准算法[J].测绘与空间地理信息,2019,42(2):199-202. |
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| 作者姓名： | 黄高锋 陈义 符宏伟 |
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| 作者单位： | 同济大学 测绘与地理信息学院,上海,200092;同济大学 测绘与地理信息学院,上海200092;国家测绘地理信息局现代工程测量重点实验室,上海200092 |
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| 摘 要： | 针对传统的基于ICP点云配准算法配准时间长、收敛慢、需要较好初始配准等限制,本文利用现有的点云特征提取算法和描述算法,提取并匹配点云中的特征点,用RANSAC算法结合坐标转换模型剔除误匹配点对,用匹配点对在两点云中的坐标计算之间的坐标转换参数,从而实现点云的配准。相比ICP类算法,提高了点云配准的效率,同时提高了点云配准的自动化程度。
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| 关 键 词： | 特征点 RANSAC 特征匹配 点云配准 |
Point Cloud Registration Algorithm Based on Keypoints Matching and Purification |
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| HUANG Gaofeng,CHEN Yi,FU Hongwei.Point Cloud Registration Algorithm Based on Keypoints Matching and Purification[J].Geomatics & Spatial Information Technology,2019,42(2):199-202. |
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| Authors: | HUANG Gaofeng CHEN Yi FU Hongwei |
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| Institution: | (College of Surveying and Geo-informatics,Tongji University,Shanghai 200092,China;Key Laboratory of Modern Engineering Surveying of National Administration of Surveying,Mapping and Geoinformation,Shanghai 200092,China) |
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| Abstract: | HUANG Gaofeng;CHEN Yi;FU Hongwei(College of Surveying and Geo-informatics,Tongji University,Shanghai 200092,China;Key Laboratory of Modern Engineering Surveying of National Administration of Surveying,Mapping and Geoinformation,Shanghai 200092,China) |
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| Keywords: | keypoints random sample consensus feature matching point cloud registration |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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