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.
受经典物理学中极性场模型及扩展点集思想的启发，提出一种称为“场拟合”的隐曲面重建方法。
Motivated by the concept of classic physical polar field model and off-set points strategy, we present a new approach, called field fitting.
受经典物理学中极性场模型及扩展点集思想的启发，提出一种称为“场拟合”的隐曲面重建方法。
Motivated by the concept of classic physical polar field model and off-set points strategy, we present a new approach, called field fitting.
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