Viola-Jones

The Viola-Jones algorithm is a computer method used to quickly detect objects like faces in images. It works by scanning the image with a sliding window and evaluating the areas using simple, fast tests called "features" that look for specific patterns, such as contrasts between regions. It employs a technique called "AdaBoost" to select the most important features and a "cascade" of classifiers that quickly dismiss unlikely areas, focusing processing power on promising regions. This approach enables real-time face detection with high accuracy, making it widely used in applications like cameras and security systems.