A new method for human face image scale and direction estimation is proposed using covariance matrix eigenvalue and eigenvector of edge set, which is proved by theory and experiments.
提出了利用边缘点集的协方差矩阵的特征值与特征矢量作为人脸图像尺度与方向的粗估计方法，从理论和实验上证明了该方法的可行性。
Matrix iteration method can be employed to figure out the first eigenvalue and eigenvector of a matrix.
矩阵迭代法是求矩阵的第一阶特征值与特征向量的一种数值方法。
Power Method is the conventional way for finding the greatest eigenvalue and the greatest eigenvector of a matrix.
幂法是求矩阵最大特征值及最大特征向量的经典方法。
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