Fuzziness Based Adaptive Sampling Algorithm 基于模糊度的自适应性抽样算法
This paper presents a developed approach for computing the offset of free-form surface using an adaptive sampling algorithm.
应用基于形状的自适应采样算法，给出了一种自由曲面的偏置算法。
Adaptive sampling algorithm of surface play an important role in evaluation of profile deviation and surface triangular approximation.
曲面轮廓度误差评价和多边域逼近均要求对理论曲面进行数字化自适应采样。
Simultaneously, this paper introduces an adaptive sampling algorithm which can compute the size and distribution of sample areas usefully to reduce the redundancy of computation.
同时提出一种自适应特征点采样选取算法，对采样块的大小及分布进行选择，避免了计算的冗余性。
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