Explore MATLAB source code curated for "人脸检测" with clean implementations, documentation, and examples.
This MATLAB program implements face and eye detection and localization using skin color segmentation algorithms. The attached files include eyematch.m (for eye pattern matching), eyematch2.m (enhanced eye matching algorithm), face.m (main face detection function), findeye.m (eye localization module), skin.m (skin color segmentation implementation), and sample image k001.JPG.
MATLAB-based face detection and recognition system with motion-triggered alarm functionality in video surveillance - featuring Haar cascade classifiers and real-time processing algorithms
A skin color and template-based face detection algorithm with comprehensive source code implementation
A MATLAB-based face detection and recognition system implemented using the Eigenface method, featuring principal component analysis for dimensionality reduction and pattern matching algorithms.
MATLAB-based implementation of eye localization and face detection algorithms, ideal for researchers studying facial recognition technology with practical code examples
Development of a real-time face recognition and detection system using MATLAB with advanced algorithms, including code implementation approaches for video processing and feature extraction.
Face detection implementation based on AdaBoost algorithm using the original source code developed by Viola et al. This classic approach features cascade classifier structure with Haar-like features and integral image optimization, providing excellent reference value for beginners in computer vision.
A ready-to-run face detection demonstration program with comprehensive functionality
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Face detection code implementing ADABOOST algorithm using inheritance strategy, featuring Haar-like feature calculation/extraction, ADABOOST training cascade, and final model generation with comprehensive annotations for ADABOOST algorithm research