Program recognition of elementary images The example shows how to use the mechanism, quadrupeds, as neural networks. First, the program offers two different images. Then point to the third image. Using it is that the mechanism should know - for

Performs Procustes point alignment on a group of point sets. Method rigidly aligns, shifts, and scales points to reduce mean square error. Method is described in: B. Klare, P Mallapragada, A.K. Jain, and K. Davis, "Clustering Face Carvings: E

principal component analysis (PCA ) is a well known approach for dimensionality reduction of the feature space. It has been successfully applied in face recognition. The main idea is to decompose face images into a small set of feature images called

用市面上的摄像头，可以实现实时人脸识别功能。(The algorithm model of facenet face recognition is obtained through deep learning, and the backbone network of feature extraction is concept-resnetv1, which is developed from concept network and RESNET, with more channels and n