- 更多网络例句与平移不变度量相关的网络例句 [注：此内容来源于网络，仅供参考]
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In the matching stage, the angle of feature vectors is used as the similarity measure in the high dimensional space directly. This similarity measure is invariant to the linear transformation of feature vectors. Compared with SIFT and normalized correlation, the proposed method needs no primary features such as edges, corners, gradient or shapes which are very unstable in low contrast and low NSR images.
在匹配过程中，以向量之间夹角的大小作为相似度度量，直接利用图像的灰度信息在高维向量空间中考虑图像之间的相似度，克服了在低照度、低信噪比的图像中求边缘、角点、梯度和形状等特征的困难，不受向量模大小以及向量平移的影响，即相似度的计算是线性光照不变的。
- 更多网络解释与平移不变度量相关的网络解释 [注：此内容来源于网络，仅供参考]
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translation invariant metric：平移不变度量
translation invariant 平移不变的 | translation invariant metric 平移不变度量 | translation number 殆周期
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translation invariant：平移不变的
translation group 平移群 | translation invariant 平移不变的 | translation invariant metric 平移不变度量
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translation invariant：平移不变式
translation group 平移群 | translation invariant 平移不变式 | translation invariant metric 平移不变度量
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translation invariant：平移不变式=>並進不変
translation group 平移群 | translation invariant 平移不变式=>並進不変 | translation invariant metric 平移不变度量
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translation number：殆周期
translation invariant metric 平移不变度量 | translation number 殆周期 | translation of axes 坐标轴的平移