matlab人脸识别代码
时间: 2023-09-02 09:08:38 浏览: 42
以下是使用MATLAB实现基于PCA算法的人脸识别的示例代码:
1. 加载人脸数据集
```matlab
load face.mat
```
2. 将人脸图片转化为向量
```matlab
X = [];
for k = 1:400
img = reshape(face(:,:,k),[1,112*92]);
X = [X;img];
end
```
3. 计算平均脸
```matlab
mu = mean(X);
```
4. 中心化数据
```matlab
X = X - repmat(mu,[400,1]);
```
5. 计算协方差矩阵
```matlab
C = X*X';
```
6. 计算特征向量与特征值
```matlab
[V,D] = eig(C);
```
7. 选取前k个特征向量
```matlab
k = 30;
U = [];
for i = 1:k
u = X' * V(:,i);
U = [U,u];
end
```
8. 计算人脸投影
```matlab
W = [];
for i = 1:400
w = U' * X(i,:)';
W = [W,w];
end
```
9. 测试人脸
```matlab
img_test = imread('test.jpg');
img_test = imresize(img_test,[112,92]);
img_test = reshape(img_test,[1,112*92]);
img_test = double(img_test);
img_test = img_test - mu;
w_test = U' * img_test';
diff = W - repmat(w_test,[1,400]);
dist = sum(diff.^2,1);
[min_dist,idx] = min(dist);
```
以上代码仅为示例,实际应用中还需要对特征向量进行归一化处理,以及对识别结果进行进一步处理。