摘要
对基于参考点的点云数据重定位问题进行了深入研究,提出了新的点云数据重定位算法;该算法采用参考点与ICP(Itera- tive Closest Point)算法相结合的方法,不仅很好地解决了重定位实现困难的问题,而且使重定位精度达到0.03~0.05mm;最后,得出该算法不仅可以完全满足三维测量系统整体精度的要求,而且具有很高实际应用价值的结论。
By an intensive study of point clouds reorientation on reference point a new algorithm is proposed. This algorithm not only solved reorientation realization but acquired 0. 03 -0.05mm in accuracy through taking approach of combining reference point and ICP (Iterative Closest Point) algorithm. Finally, it come to the conclusion that this algorithm can meet the requirements of 3D (three dimension) measurement system on integral accuracy.
出处
《计算机测量与控制》
CSCD
2006年第9期1222-1224,1238,共4页
Computer Measurement &Control
基金
国家自然科学基金资助项目(50175034)
关键词
重定位
点云
ICP算法
参考点
reorientation
point clouds
ICP algorithm
reference point