SYSTEM, METHOD AND APPARATUS FOR PERFORMING FACIAL RECOGNITION
A method for recognizing a face in an image is performed by a facial recognition system. The system retrieves an image and detects a face within the image. The system then determines a set of facial feature positions for a set of facial features. The set of facial feature positions are used to separate the face into a set of facial feature parts. For each part, the system extracts a set of image features. The extracted features are concatenated into a full feature. The system performs dimension reduction on the full feature to derive a final feature.
1 . An image processing system for performing facial recognition on an image, the image processing system comprising:
a first server computer, the first server computer including a processor, a network interface coupled to the processor and operatively coupled to a database, and a server software application operating on the processor;
ii) the server software application adapted to:
1) over the network interface, retrieve an image from a client computer or a second server computer;
2) retrieve a set of models from the database;
3) extract a final feature from the image;
4) apply each model in the set of models on the final feature to generate a set of comparison scores;
5) select the highest score from the set of comparison scores;
6) where the highest score is below a threshold, indicate that a face is not recognized in the image;
7) where the highest score is over the threshold, associate the image with a label, wherein the label is associated with the model corresponding to the highest score, thereby forming an association; and
8) store the association into the database.
2 . The image processing system of claim 1 , wherein the server software application is further adapted to determine that the image correctly labeled.
3 . The image processing system of claim 1 , wherein the server software application is further adapted to:
i) retrieve a set of training images over the network interface;
ii) for each training image in the set, extract a training image final feature; and
iii) perform model training on the set of training image final features to derive a recognition model, wherein the recognition model is a model in the set of models.
4 . The image processing system of claim 1 , wherein the server software application is further adapted to:
i) retrieve a video dip over the network interface;
ii) select a set of representing frames from the video clip;
iii) perform facial recognition on each frame in the set of representing frames to identify a second face, thereby forming a set of second faces; and
from the set of second faces, select one second face as an identified face for the video clip.
5 . The image processing system of claim 1 , wherein the second server computer is a social media networking server.