This paper designs a software interface, it takes 3d scattered points as input and triangle mesh as output.
本文通过设计一个软件界面，输入三维散乱点的集合，输出为由三角网格组成的物体的表面。
Measurement of 3d object to obtain its scattered points cloud data is the foundation of surface reconstruction.
散乱点云数据的测量是三维物体曲面重建的前提和基础。
A new type of generalized polynomials neural network was proposed to reconstruct 3d implicit surface from the scattered points.
针对点云数据的三维重建问题，提出了一种隐曲面重构的广义多项式神经网络新方法。
A new type of generalized polynomials neural network was proposed to reconstruct 3d implicit surface from the scattered points.
针对点云数据的三维重建问题，提出了一种隐曲面重构的广义多项式神经网络新方法。
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