Face Recognition for 100 Subjects Using SOM Neural Network Algorithm
Implementation of Self-Organizing Map neural network algorithm for 100-face recognition in MATLAB, featuring strong scalability and modular code structure.
Explore MATLAB source code curated for "人脸识别" with clean implementations, documentation, and examples.
Implementation of Self-Organizing Map neural network algorithm for 100-face recognition in MATLAB, featuring strong scalability and modular code structure.
Design and implementation of a Bayesian classifier with robust application capabilities, particularly optimized for face recognition systems with feature extraction and probabilistic modeling
MATLAB implementation example of PCA-based face recognition system with code demonstration.
MATLAB implementation of face recognition using sparse representation with various optimization methods including L1/L2 norm minimization and dictionary learning approaches.
A directional filtering operation applied for facial landmark extraction prior to face recognition tasks, involving image preprocessing and feature enhancement techniques
A face recognition method utilizing monogenic signal descriptors followed by Local Binary Pattern encoding. This approach involves signal processing techniques for feature extraction and pattern encoding algorithms for robust recognition. For reference only - commercial use prohibited, academic research applications permitted.
A bilateral 2DLDA implementation for face recognition applications, providing an enhanced approach compared to standard unilateral 2DLDA implementations with improved feature extraction capabilities.
Complete face recognition system implementation featuring image preprocessing, K-L transform based feature extraction, and classifier design for fully automated facial identification
Implementation of classic face recognition algorithms using AdaBoost, KNN, and LBP feature extraction with code explanations and technical insights
A MATLAB-based face recognition program that implements a train-then-test approach, accepting an input image and returning the closest matching face images from the dataset.