匹配阶段分别采用归一化距离和马氏距离作为视类判定和仿射矩阵建立的依据。
In the matching phrase normalized distance and Mahalanobis distance are used to identify the view class and build the affine matrix.
讨论了不同湍流强度、波长和传播距离对强度协方差函数和归一化强度方差的影响。
The influence of turbulence strength, wavelength and propagating distance on the covariance function and normalized variance of the scattering intensity is discussed.
提出了基于目标一维平均距离像归一化中心矩的目标识别方法和一种新的基于目标一维散射中心匹配的目标识别方法。
Two methods are presented, one is based on the normalized central moments of one dimensional range profiles, the other is based on one dimensional scattering centers matching.
用统计学的方法，等角度间隔地计算归一化步态轮廓图像各像素点至质心距离的均值与方差，并用其构造步态识别的特征向量。
Using statistical methods to calculate the Angle interval mean and variance of pixels to centroid distance of the normalized gait silhouette images, and construct them as a feature vector.
然后抽取目标区域的颜色特征和纹理特征，并分别对两个特征的相似距离进行归一化。
Then we obtain the color and texture features of object regions and normalize them separately.
采用归一化反距离加权插值法计算纠正后像素点的属性值。
The value of output pixels is calculated by the distance inverse weight method.
采用归一化反距离加权插值法计算纠正后像素点的属性值。
The value of output pixels is calculated by the distance inverse weight method.
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