Bispecra is a translation-invariant character, contain abundant phase information, but it is two dimension, and misfit board match.
双谱是一种平移不变的特征，含有丰富的相位信息，但它是二维函数，不利于模板匹配。
Translation invariant lies at the heart of many image processing and pattern recognition.
平移不变性在图像处理和模式识别等应用中具有十分重要的意义。
For a system, Hamiltonian is invariant under any translation of spatial coordinates.
对于一体系，哈密算符在任何空间坐标变换下是不变的。
This paper analyses the influence of scale factor on moment invariant features in discrete, constructs a new moment invariant with both scale, translation and rotating invariance.
分析了在离散状态下比例因子对不变矩特征的影响，构造了一种新的不变矩，使其具有平移、旋转和比例因子的不变性。
From the experiments and analysis carried out in the paper, the optimal denoising results can be obtained by the combination of the empirical Wiener filter and the translation invariant wavelet.
结果表明，将小波域上的经验维纳滤波器与平移不变小波相结合进行去噪，所得到的效果是最佳的。
This representation is invariant to the translation, rotation, and scaling change of the object.
这种表示是客体平移、旋转和相似变化的不变量。
It selected corners as features, removed influence of image stretch, skew, rotation, and translation by calculating affine invariant, so matching accuracy and speed were improved.
该算法使用角作为图像匹配选取的特征，通过仿射不变处理，消除图像缩放、扭曲、旋转和平移等变化产生的影响，提高了特征匹配的精度和正确匹配率。
The algorithm can adapt to object recognition, invariant not only under rotation? Scaling? Translation, but under affine and projective transformation.
算法不仅能适应目标物体在旋转、缩放、平移变换下的不变性识别。而且能适应仿射及射影变换下的不变性识别。
The differential invariants are robust to the noise and also invariant to the translation and rotation.
微分不变量具有平移和旋转不变性，并且对噪声具有较强的鲁棒性。
Experiments show that the algorithm has high correct recognition ra (?) IO, and is invariant to translation, rotation and scale.
实验证明，本文方法具有较高的识别率，且该算法是平移、旋转和比例变化不变的。
It's a key problem to search for affine invariant with respect to translation, scaling, rotation and skewing in multi-resolution analysis.
寻找相对于平移、尺度、旋转、扭曲不变的仿射不变量是现今多尺度分析在模式识别中应用的关键性问题。
The topological properties for translation, rotation and scale is invariant pattern recognition.
拓扑性质具有对图形的平移、伸缩、旋转的不变性。
The image watermarking scheme based on scale invariant feature transform(SIFT) is proposed for resisting rotation scale translation(RST) attacks.
提出一种利用SIFT关键点实现对RST攻击校正的半盲水印方案。
Translation invariant(TI)wavelet de-noising method is an improved method of wavelet thresholding shrinks; it can suppress Pseudo-Gibbs artifacts effectively.
图像的平移不变量小波去噪法是小波收缩阈值去噪法的改进，能够有效抑制小波阈值去噪过程中出现的伪吉布斯现象。
The variety of ear angle and occlusion are the difficulties of ear recognition. The Scale Invariant Feature Transform(SIFT) is invariant to image scaling, translation and rotation.
人耳的角度变化和遮挡是人耳识别中的难点问题，SIFT局部描述算子具有对图像尺度缩放、平移、旋转等的不变性，因此提出利用SIFT特征的人耳识别算法。
Because the proposed angular feature is invariant to rotation, translation and scale transformation, the registration result will converge to global minimization rather than local one.
由于本文提出的角特征不随旋转、平移和尺度的变化而变化，所以配准最终收敛到全局最小值，而不是局部最小值。
Experimental results show that this algorithm is not only invariant to translation and scalability, but has good robustness, and the results are more effective.
实验结果表明，该算法具有良好的平移和伸缩不变性及较好的鲁棒性，搜索能力更强。
First, face images are processed by a 2D Fourier transform that has some effective properties such as a linear transform, and is invariant against spatial translation.
首先对人脸图像进行傅里叶变换，得到其具有位移不变特性的振幅谱表征。
First, face images are processed by a 2D Fourier transform that has some effective properties such as a linear transform, and is invariant against spatial translation.
首先对人脸图像进行傅里叶变换，得到其具有位移不变特性的振幅谱表征。
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