Explore MATLAB source code curated for "人脸识别" with clean implementations, documentation, and examples.
MATLAB source code implementing face recognition using Principal Component Analysis, employing SVD decomposition for principal component extraction with optimized matrix operations and classification functions
Face recognition implementation based on Linear Discriminant Analysis (LDA), featuring experimental validation on the ORL face database to evaluate algorithm recognition rates with detailed code implementation and parameter optimization strategies.
A MATLAB-based face recognition program implementing Bayesian classification methodology, validated on the ORL database with flexible dataset adaptation through sample size modification
MATLAB-based face recognition implementation with Principal Component Analysis (PCA) as the core algorithm, featuring dimensionality reduction and feature extraction
The classic Sparse Representation-based Classification (SRC) algorithm, ideal for students and researchers working on face recognition applications with practical code implementation insights
A novel approach for solving facial recognition problems by integrating two-dimensional Principal Component Analysis (2DPCA) for efficient feature vector extraction with Support Vector Machine (SVM) as a robust classification discriminant method. Experimental implementation involves database validation with results demonstrating significant classification rate improvements through optimal feature dimensionality reduction and kernel-based pattern separation.
This MATLAB face recognition implementation includes an extensive facial database, featuring robust algorithms for accurate identity verification and similarity analysis, suitable for both research and practical applications.
MATLAB code for face recognition using Gabor filters combined with PCA, achieving excellent recognition rates through advanced feature extraction and dimensionality reduction techniques.
Developing face recognition in MATLAB by creating a facefind function compiled into a .dll dynamic link library, achieving accurate detection including profile images with over 95% recognition rate through optimized algorithm implementation.
Implementation of Gabor wavelets for face recognition using MATLAB programming, featuring comprehensive algorithm explanations and ready-to-use code examples suitable for graduation projects and academic research