In this article, we decipher the Viola-Jones algorithm, the first ever real-time face detection
system. There are three ingredients working in concert to enable a fast and accurate detection:
the integral image for feature computation, Adaboost for feature selection and an attentional
cascade for efficient computational resource allocation. Here we propose a complete algorithmic
description, a learning code and a learned face detector that can be applied to any color image.
Since the Viola-Jones algorithm typically gives multiple detections, a post-processing step is
also proposed to reduce detection redundancy using a robustness argument