Explore MATLAB source code curated for "人脸检测" with clean implementations, documentation, and examples.
This program provides a reference implementation for individuals interested in face detection, featuring Gabor feature extraction and neural network approaches with detailed code structure and algorithm explanations.
Face detection utilizing skin color modeling, combined with Euler number computation and morphological opening operations, enables effective detection of multiple faces within a single image! Demonstrated impressive performance results.
Utilizing face image normalization, face detection, and feature extraction processes to achieve face recognition functionality, with code implementation approaches for each stage.
Implementation of face detection and annotation in images using MATLAB, featuring computer vision techniques and image processing algorithms.
Implementing face detection using the AdaBoost algorithm with a custom image dataset, including code implementation details for feature extraction and cascade classifier training.
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
MATLAB source code for face detection and recognition system with algorithmic implementation details
Complete source code for a face detection and recognition system implemented in MATLAB, featuring robust algorithm implementations and modular function design for educational and research purposes
A collection of MATLAB toolbox functions implementing video-based face detection and recognition algorithms with enhanced code implementation details
MATLAB source code for face recognition using Adaboost algorithm, featuring comprehensive face detection implementation with weak classifier combination and feature selection techniques