• The main results are listed as theorems 1 and 2, while the conclusion. obtained from a geometric sampling model may be seen as a special case. Examples are given finally.

    主要结果定理12几何抽样模型结论本文的特例最后附有实例

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  • A study on sampling order for irregular geometric figure recognition was conducted.

    研究了不规则几何图形识别中的信息取样优先序。

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  • 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.

    最后通过球面参数化算法自适应采样算法扩展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。

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  • A study of the first sampling part of irregular geometric figures was conducted in the experimental method.

    实验方法不规则几何图形取样视点进行研究

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  • The SNR of the parallel-collected images is relevant to the geometric shape and the position of the coil and is influenced by the reconstruction method and the sampling mode.

    并行采集图像SNR,不仅与线圈几何形态位置有关重建方法采样模式的影响。

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  • The sampling order of both 3-dimension geometric figures and facial figures were arranged by the degree of the difference among the sampled-features.

    立体几何图形人脸部图形取样序有取样信息特征差异进行排序趋势。

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  • For the 3-dimension geometric figures sampling, the first sampling-position was most likely located at the outline parts of the figures, and rarely at the center of gravity of the figures.

    立体几何图形取样策略研究中,视点轮廓部位概率最大,落在重心的概率极小。

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  • For the 3-dimension geometric figures sampling, the first sampling-position was most likely located at the outline parts of the figures, and rarely at the center of gravity of the figures.

    立体几何图形取样策略研究中,视点轮廓部位概率最大,落在重心的概率极小。

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