JointBoost를 이용한 기울어진 얼굴 검출

JointBoost is a recently proposed method for multi-class problems. It reduces the computational and sample complexity, by finding common features that can be shared across the classes. In this paper, we present a method for detecting rotated face using JointBoost. We compared detection rate of the method using mean weak classifiers with that using standard deviation weak classifiers.