数据点云分块是逆向工程中一个非常关键的环节，测量数据的分块结果将直接影响到曲面拟合及CAD模型重建的质量。
The point cloud segmentation is an extremely essential step in the reverse model design. The segmentation results will affect the surface fitting and the CAD model reconstruction quality directly.
通过弗格森双三次曲面为研究模型来建立最佳的拟合参数。
At last, through establishing optimal fitting parameters, it is shaped the model of Ferguson bicubic curved surface to surface fitting.
目的为了提高GPS水准的拟合模型在逼近高程异常曲面时的逼近精度和可信度。
AimIn order to improve approximating precision and reliability of GPS leveling of imitated model in approximating abnormal height curved surface.
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