Implementation of Facial Expression Recognition Methods in MATLAB

In this text, I would like to share a MATLAB-based code implementation for facial expression recognition, which proves highly beneficial for both beginners and researchers interested in facial expression analysis. This code demonstrates fundamental methodologies for implementing facial expression recognition in MATLAB, incorporating essential algorithms such as facial landmark detection, feature extraction using Local Binary Patterns (LBP) or Histogram of Oriented Gradients (HOG), and classification through Support Vector Machines (SVM) or convolutional neural networks. The implementation covers crucial MATLAB functions including vision.CascadeObjectDetector for face detection, extractHOGFeatures for feature vector generation, and fitcecoc for multi-class classification. Whether you aim to deepen your understanding of facial expression recognition mechanisms or seek practical MATLAB applications, this code serves as an excellent starting point by providing hands-on experience with preprocessing techniques, feature engineering approaches, and machine learning implementation strategies.