# 用于面部识别的PCA matplotlib类class PCA matplotlib for face recognition

matplotlib.mlab.PCA（a）类计算a的SVD并存储PCA的数据。 使用项目将数据投影到一组缩小的维度上

` `Inputs: a: a numobservations x numdims array Attrs: aa 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` `

``````import os
from PIL import Image
import numpy as np
import glob
import numpy.linalg as linalg
from matplotlib.mlab import PCA

#Step 1: put database images into a 2D array
filenames.sort()
img = [Image.open(fn).convert('L').resize((90, 90)) for fn in filenames]
images = np.asarray([np.array(im).flatten() for im in img])

#Step 2: database PCA
results = PCA(images.T)
w = results.Wt

#Step 3: input image
input_image = np.asarray(input_image)

#Step 4: input image PCA
results_in = PCA(input_image)
w_in = results_in.Wt

#Step 5: Euclidean distance
d = np.sqrt(np.sum(np.asarray(w - w_in)**2, axis=1))
``````

``````Traceback (most recent call last):
File "C:/Users/Karim/Desktop/Bachelor 2/New folder/matplotlib_pca.py", line 32, in <module>
d = np.sqrt(np.sum(np.asarray(w - w_in)**2, axis=1))
ValueError: operands could not be broadcast together with shapes (30,30) (92,92)
``````
1. 谁能帮助我纠正错误？
2. 那是人脸识别的正确方法吗？

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