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。
An adaptive sampling frequency tracking algorithm which adapt to realization of precise real time harmonic analysis is introduced.
提出了一种适于高精度实时电力谐波分析的自适应调整采样频率的电网频率跟踪算法。
During digitizing, the adaptive sampling planning method based on the curvature of surface and the slope of tangent line of measured point is proposed.
在曲面数字化方面，提出基于曲面曲率和被测点切线斜率的自适应采样规划。
Several adaptive sampling period algorithms are studied deeply and some improvements are made. The performance formulae under adaptive sampling are given.
深入研究了几种采样周期自适应策略，在此基础上提出了两种改进的采样周期自适应策略。
At last, by generalizing our spherical parameterization algorithm and adaptive sampling scheme to the planar case, we can adopt image compression algorithms to compress geometric signals.
最后，通过把球面参数化算法和自适应采样算法扩展到平面，我们提出一种基于传统图像压缩技术的几何信号压缩算法。
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。
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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