摘要
点云配准是三维激光扫描数据处理过程中不可或缺的一个环节,利用标靶进行配准是经典的手段之一,此类方案在单独扫描标靶的基础上进行半自动化配准。本文给出一种自动配准策略,用中心投影原理将单站扫描的点云转换为深度影像,借助数字图像处理技术完成标靶的自动提取,拟合获得标靶中心点的坐标,并借用摄影测量学的知识实现点云的自动化配准。实验证明了本文方法的可靠性。
Registration of point clouds plays an essential role to process the data acquired with 3D laser scanner. One traditional half automatic registration scheme based on targets needs to scan each target separately. In this paper, we develop a new automatic registration method that converts point clouds of single station to two-dimensional images by the center projection principle. It utilizes digital image processing technology to extract targets automatically and calculates the coordinates of its center point with photogrammetry so as to achieve point clouds registration automatically. Experimental results show the effectiveness and reliability of this method.
出处
《工程勘察》
CSCD
2012年第2期66-69,共4页
Geotechnical Investigation & Surveying
基金
数码影像高精度工程监测关键技术及质量控制方法(项目编号:51079053)
关键词
平面标靶
可变模板
深度图像
点云配准
planar target
deformable template
range image
registration of point clouds
