Explore MATLAB source code curated for "人脸检测算法" with clean implementations, documentation, and examples.
We have significantly enhanced the face detection algorithm by leveraging cumulative probability distribution points as threshold parameters in weak classifiers, improving classification efficiency through optimized histogram analysis.
This repository provides a robust MATLAB implementation of the mature Viola-Jones face detection algorithm, ideal for research purposes and academic exploration.
This project provides a MATLAB implementation of a face detection algorithm utilizing the AdaBoost method, offering valuable insights for developers working on computer vision applications with feature selection and classifier training processes.
Face detection algorithm utilizing AdaBoost methodology, featuring complete training pipeline with optimized data reading structure to reduce memory consumption