MATLAB provides built-in functions for face detection and recognition, making implementation straightforward. Start by loading an image or video using imread or vision.VideoFileReader. Use the vision.CascadeObjectDetector function for face detection, which returns bounding boxes for detected faces.
For recognition, extract features from the face region using algorithms like PCA, LBP, or deep learning models. MATLAB’s Deep Learning Toolbox allows the use of pre-trained networks like ResNet for feature extraction.
Match extracted features with a database using similarity metrics (e.g., cosine similarity) or classifiers like SVM. MATLAB also provides a faceRecognition app to simplify the process for beginners.