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三维点云数据的准确配准拼接与坐标转换是确保大型建筑物重构精度的关键.文章利用Scan Station2三维扫描仪对大型建筑物进行多测站扫描与配准拼接,分析了平面标靶与特征点配准的误差来源,提出了改进的特征点配准方法及坐标转换策略,并实例验证了该方法的有效性与优越性.
Accurate registration and transformation of 3D point cloud data is the key to ensure the reconstruction accuracy of large buildings.This paper uses Scan Station2 three-dimensional scanner to scan and register stitching of large buildings with multiple stations, and analyzes the relationship between plane target and The source of the registration error of the feature points is proposed, and an improved feature point registration method and coordinate transformation strategy are proposed. The effectiveness and superiority of this method are verified by examples.