我正在尝试使用python构建一个用于人脸识别的代码。现在我可以将所有数据库图像放入一个二维数组中,以便对它们应用主成分分析(PCA)。我在matplotlib中找到了一个名为PCA的类,但是我想知道如何使用它来进行人脸识别。在
以下是所述类别的说明:class matplotlib.mlab.PCA(a)
compute the SVD of a and store data for PCA. Use project to project the data onto a reduced set of dimensions
Inputs:
a: a numobservations x numdims array
Attrs:
a a centered unit sigma version of input a
numrows, numcols: the dimensions of a
mu : a numdims array of means of a
sigma : a numdims array of atandard deviation of a
fracs : the proportion of variance of each of the principal components
Wt : the weight vector for projecting a numdims point or array into PCA space
Y : a projected into PCA space
The factor loadings are in the Wt factor, ie the factor loadings for the 1st principal component are given by Wt[0]