Project Description:
This project implements a real-time face detection system using the Viola-Jones algorithm, which is a widely used computer vision method for rapidly identifying human faces in images. Developed in C++, the system utilizes Haar-like features, integral images, and a cascade of boosted classifiers to efficiently distinguish whether an image contains a face or non-face while maintaining strong detection accuracy. By experimenting with the optimization of speed and performance, the design is capable of processing images quickly enough for real-time applications. The project demonstrates how machine learning techniques can be applied to solve practical problems.
