Explore MATLAB source code curated for "人脸检测" with clean implementations, documentation, and examples.
A functional face detection implementation utilizing AdaBoost, Cascade classifiers, and Haar features, capable of training classifiers and detecting faces in images or videos.
An efficient and robust face detection program built on MATLAB platform, featuring optimized performance for real-time applications.
A high-performance MATLAB face detection program designed for face tracking and recognition applications, featuring robust algorithms with included test images for validation purposes.
A MATLAB-based face detection implementation utilizing the AdaBoost algorithm for rapid and efficient performance with high reference value. This program integrates skin color detection with AdaBoost for facial feature extraction.
A face detection program utilizing skin color modeling, which establishes a similarity function through Gaussian modeling, performs binarization using an optimal threshold method, and applies morphological processing to extract face regions. The implementation involves probability density estimation for skin tone classification and image processing techniques for region refinement.
This code implements face detection simulation using the AdaBoost algorithm, providing clear visualization through comprehensive result graphs. The implementation demonstrates proper training of weak classifiers into a strong classifier cascade for efficient detection.
This article presents a small-scale face detection application. Due to recent system reinstallation without MATLAB setup, the content is shared via Word document formatted as a technical paper, including source code, processing results, and implementation methodology with algorithmic insights.
This algorithm focuses specifically on color facial recognition, utilizing MATLAB's facial detection algorithms combined with facial image segmentation across different color spaces. Developers can reference this implementation which demonstrates key functions like color space conversion (RGB to HSV/YCbCr) and skin tone modeling for improved detection accuracy.
A MATLAB-based program implementation for face detection with algorithm explanations and code integration approaches
MATLAB-based face detection and localization system implemented through M-files with high accuracy, employing computer vision algorithms for robust facial feature identification.