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选取适当的初始基曲面,根据最小二乘原理,以点到初始基曲面的最小距离作为迭代依据,提出和实现了三维密集散乱数据的B样条曲面的拟合算法。
According to the principle of least squares and the minimum distance from the point to the initial base surface, an appropriate initial base surface is selected as an iterative basis, and a fitting algorithm of B-spline surface with three-dimensional dense scattered data is proposed and implemented.