A face identification method based on singular value decomposition (SVD) and data fusion is proposed in this paper.
提出了一种基于奇异值分解和数据融合的脸像鉴别方法。
In this paper, a method of face recognition based on symmetry average of local singular value features is presented.
提出了一种基于局部奇异值对称平均的人脸识别方法。
Besides, a method based on settlement value is put forward as a criterion for face stability judgment.
提出了根据地面沉降值从理论上判断开挖面稳定性的方法。
The face in image can be localized by feature value method.
首先采用基于特征值的方法进行图像中的人脸定位。
This paper introduces a method to solve optimum length of working face by Fuzzy Programming and Value Engineering Theory. Then an example with its analysis was given.
本文介绍了用模糊规划及价值工程理论求解最佳工作面长度的方法，并给出了算例，进行了结果分析。
A face recognition method based on the fusion of principal component analysis (PCA) and singular value decomposition (SVD) is presented.
提出了奇异值分解(SVD)和主分量分析(PCA)相结合的人脸识别算法。
The optimal discriminant features of face are extracted using singular value decomposition and Fourier transform, and then they are classified by the nearest neighbor method. In...
然后对人脸图像做奇异值分解和离散傅立叶变换，并分别提取最佳鉴别变换特征，用最近邻方法进行分类。
The optimal discriminant features of face are extracted using singular value decomposition and Fourier transform, and then they are classified by the nearest neighbor method. In...
然后对人脸图像做奇异值分解和离散傅立叶变换，并分别提取最佳鉴别变换特征，用最近邻方法进行分类。
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