Face detection using AdaBoost and template matching

Abstract

This work contains the existing face detection method on gray-scale static image. Discrete-AdaBoost algorithm which is proposed by Viola-Jones is one of the typical real-time face detection methods with superior speed and performance. Then Maio and Maltoni's paper is reviewed, and it suggested the template matching algorithm which enhances the face detection rate. The Viola-Jones face detector contains three main ideas that make it possible to build a successful face detector that can run in real time: the integral image, classifier learning with AdaBoost, and the attentional cascade structure. Maio and Maltoni's method approximately detects the image positions where the probability of finding a face is high

next, the location accuracy of the candidate faces is improved and their existence is verified.