Explore MATLAB source code curated for "人脸识别" with clean implementations, documentation, and examples.
A practical MATLAB implementation of Support Vector Machine (SVM) algorithm, featuring customizable parameters and kernel functions. Includes demonstration code for image processing and face recognition applications with performance validation techniques.
A MATLAB-based face recognition program using camera input with satisfactory performance, providing reference for researchers in the field. Features algorithmic implementation details including face detection, feature extraction, and classification components.
A MATLAB-implemented face recognition and detection application utilizing Principal Component Analysis (PCA) for facial feature extraction, featuring efficient image processing algorithms and robust pattern recognition capabilities
A face recognition program implementing KNN classifier with intra-class and inter-class distance criteria, featuring advanced feature extraction techniques.
Includes GUI design with intuitive interface layout and user-friendly controls
A MATLAB-based face recognition program utilizing Independent Component Analysis (ICA) algorithm, achieving high recognition accuracy with optimized preprocessing and computational efficiency.
MATLAB implementation of SVD-based feature extraction for face recognition systems with optimization considerations
MATLAB program for face recognition using PCA feature dimensionality reduction and Gabor wavelet transform, including algorithm implementation and key function descriptions
A classic face recognition system implemented with the KICA (Kernel Independent Component Analysis) algorithm, featuring robust feature extraction and pattern recognition capabilities
A robust MATLAB implementation for face recognition using sparse coding, derived from Yang's seminal paper, ideal for beginners to systematically learn sparse coding concepts. The algorithm achieves strong performance on both occluded and non-occluded face recognition tasks, featuring sparse representation classification with error tolerance mechanisms.