利用K-L变换进行人脸识别。首先求得待辨识图像相对于训练集平均脸的差值图像，然后求得该图像在特征脸空间中的坐标，最后采用最近邻法对图像进行归类。-KL transform for face recognition. Obtain the first image to be identified image with respect to the difference between the average face of the training set, and then obtain the

人脸对齐，用于2d 3d图像的正面、侧脸图像识别，通过训练和测试模型进行验证-fACE ALIGNMENT

深度学习中用卷积神经网络来训练模型，输入人脸图像到模型中从而进一步识别

人脸识别，提供人脸识别功能以及训练模型。同时可以自定义训练(Face recognition provides face recognition function and training model. At the same time, you can customize the training)