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。
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。
In this paper, to balance the requests from different components in IoT system, an adaptive multiple sampling rate scheduling (AMSRS) algorithm is proposed.
为了平衡物联网系统的不同组件的要求，本文提出自适应多重采样速率调度算(AMSRS)。
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。
First, this paper presents a shape-keeping and adaptive feature points sampling algorithm, which can reduce storage and computational requirments in the post-processing procedure.
本文首先提出了一种保持轮廓形状特征的自适应特征点采样算法，该算法大大减少了后续处理的的存储量和计算量。
Self adaptive tracking algorithm for maneuvering targets by high-sampling-rate bearing-only passive sensor is investigated.
研究了仅有方位角测量信息的单被动传感器对机动目标的自适应跟踪方法。
The model simplification algorithms can be divided into four main categories: vertex clustering, incremental simplification, the sampling algorithm and adaptive subdivision.
根据简化算法的简化方式可将其分为四大类：顶点聚类算法、增量式简化算法、采样算法和自适应细分算法。
The model simplification algorithms can be divided into four main categories: vertex clustering, incremental simplification, the sampling algorithm and adaptive subdivision.
根据简化算法的简化方式可将其分为四大类：顶点聚类算法、增量式简化算法、采样算法和自适应细分算法。
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