Face Recognition Program Implementation with MATLAB
A comprehensive MATLAB-based face recognition program featuring robust algorithm implementation, available for download and technical research
LBP Feature Computation Program for Face Recognition
A face recognition program implementing LBP feature calculation - providing simple yet effective statistical histogram features with practical implementation guidelines for feature extraction and analysis.
MATLAB Code Implementation for Face Recognition with Nonlinear Dimensionality Reduction
This program demonstrates a typical approach for feature extraction after nonlinear dimensionality reduction in face recognition systems. Developers interested in nonlinear dimensionality reduction and feature extraction techniques can study this implementation, which provides valuable insights into handling high-dimensional facial data through methods like Kernel PCA or ISOMAP to extract meaningful low-dimensional representations.
Face Recognition Using Two-Dimensional Linear Discriminant Analysis
Implementation of face recognition based on Two-Dimensional Linear Discriminant Analysis (2D-LDA) with recognition rate evaluation on the ORL face database, including algorithm workflow and key matrix operations.
Face Recognition System Using Sparse Representation with MATLAB GUI Implementation
A successfully implemented face recognition system based on sparse representation methodology, developed using MATLAB GUI framework with complete functionality
Face Recognition Technology
A computer vision technique for identifying human faces and drawing bounding boxes around facial regions using advanced algorithms
Face Recognition Based on Backpropagation Neural Network
This code implements face recognition using a Backpropagation Neural Network, providing enhanced accuracy in identifying facial features through machine learning.
PCA Algorithm for Face Recognition
Face recognition code based on PCA algorithm, implementing eigenface extraction and face identification with mathematical transformation and comparison techniques
MATLAB Implementation of Face Recognition with Illumination Normalization Algorithm
MATLAB-based face recognition system featuring illumination normalization techniques to enhance recognition accuracy under varying lighting conditions
MATLAB Implementation of PCA Algorithm for Facial Recognition
PCA algorithm for feature extraction in facial recognition, which is the most widely used traditional facial recognition technique. This method achieves dimensionality reduction by constructing feature subspaces through eigenvalue decomposition of covariance matrices.