PCA and Fisher Face Recognition Implementation
Complete PCA and Fisher face recognition code with detailed comments, ready for immediate implementation and customization.
PCA+Fisher Face Recognition MATLAB Implementation
MATLAB program for PCA+Fisher face recognition with included image database, suitable for introductory facial recognition projects with algorithm implementation details.
PCA+Fisher Face Recognition with Implementation Details
PCA+Fisher face recognition method tested on ORL face database with promising results, including dimensionality reduction and linear discriminant analysis implementation
Pattern Recognition Classifiers: Fisher and Bayes Classifiers with MATLAB Implementation
MATLAB implementation of pattern recognition classifiers including Fisher and Bayes classifiers for gender classification tasks, featuring statistical analysis and probability-based decision making
PCA+Fisher: Applying Kernel Functions to Face Recognition Research
PCA+Fisher methodology integrates kernel functions with principal component analysis and Fisher linear discriminant analysis for enhanced face recognition performance
Metaface Learning for Sparse Fisher Discrimination Dictionary Learning for Sparse Representation
Metaface Learning for Sparse Fisher Discrimination Dictionary Learning for Sparse Representation with Implementation Insights