An algorithm based on singular value decomposition (SVD) is proposed, which hides secret information in singular value vector.
给出了一种基于矩阵奇异值分解(SVD)和奇异值量化的信息隐藏算法。
The third-order cumulant is used to improve the robustness to noise, and the singular value vector is used to reduce the memory and complicatedness. The…
该方法一方面利用三阶累积量提高了抗噪性能，同时又使用非零奇异值矢量减少了存储量与运算量。
In training phase, singular value vector of a lot of face image information matrix from face image sets constitutes face image sets characteristic matrix as a column.
在训练阶段，从人脸图像集中选取大量人脸图像的信息矩阵的奇异值向量作为矩阵中的一列而构成的人脸图像集特征矩阵。
Based on the model of color image, color face image was recognized as a template for processing, and singular value vector was firstly applied to color face recognition.
基于彩色图像的四元数模型，将彩色人脸图像视为一个模板直接处理，并首次将奇异值向量应用到彩色人脸识别中。
With the data of characteristic singular values of sub-images, the Local Singular Value Vector of the whole image are combined, and are used as the input of the classifier.
子图像的特征奇异值组成整个图像的局部奇异值向量，作为分类器的输入。
The third-order cumulant is used to improve the robustness to noise, and the singular value vector is used to reduce the memory and complicatedness. The simulated experimental …
该方法一方面利用三阶累积量提高了抗噪性能，同时又使用非零奇异值矢量减少了存储量与运算量。
By matrix operation, the invariance of image singular value vector about the reducing and enlarging transformation is proved, and this character is applied to the image matching.
通过矩阵运算，证明了奇异值特征矢量在图像做缩放变换时具有不变性，并将这种性质运用于图像匹配。
By matrix operation, the invariance of image singular value vector about the reducing and enlarging transformation is proved, and this character is applied to the image matching.
通过矩阵运算，证明了奇异值特征矢量在图像做缩放变换时具有不变性，并将这种性质运用于图像匹配。
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