Real AdaBoost-Based Face Detection Implementation

Resource Overview

A MATLAB face detection program utilizing Real AdaBoost algorithm, featuring comprehensive source code with detailed implementation of Haar feature extraction and weak classifier training processes.

Detailed Documentation

This is a MATLAB-based face detection program implementing the Real AdaBoost algorithm, provided with complete source code. The program includes detailed implementations of Haar-like feature extraction and the training process for weak classifiers. The implementation demonstrates feature selection through integral image calculations and iterative classifier boosting mechanisms. Additionally, the program can be further optimized and extended according to practical requirements, such as incorporating additional feature extraction methods or improving classifier accuracy through parameter tuning and algorithm enhancements. This implementation serves as a valuable reference for research and applications in the face detection domain, showing practical MATLAB coding techniques for computer vision algorithms.