The DeepFace algorithm, first aligns a face so that the person in the picture faces forward, using a 3-D model of an “average” forward-looking face. Then it uses the deep learning to find a numerical description of the forward-looking face.
Which machine learning algorithm is used in face recognition?
Facial detection via the Viola-Jones algorithm is a com- mon method used due to its high detection rate and fast pro- cessing speed. The algorithm can be summed up in four steps: feature selection, feature evaluation, feature learning to create a classifier, and cascading classifiers.
Is FaceNet the best?
FaceNet achieved nearly 100-percent accuracy on a popular facial-recognition dataset called Labeled Faces in the Wild, which includes more than 13,000 pictures of faces from across the web. Trained on a massive 260-million-image dataset, FaceNet performed with better than 86 percent accuracy.
Is facial recognition AI or machine learning?
Facial recognition is a technology that is capable of recognizing a person based on their face. It employs machine learning algorithms which find, capture, store and analyse facial features in order to match them with images of individuals in a pre-existing database.