In this paper, we present a robust real-time face detection algorithm. We improved the
conventional face detection algorithms for three different steps. For preprocessing step, we …

It would cost much and much time in face detector training using AdaBoost algorithm. An
improved face detection algorithm called Rank-AdaBoost based on feature-value-division …

The face detection algorithm based on multi-channel map discriminant projection Haar
feature is proposed in this paper. The multi-channel map is extracted from the face image …

Both detection accuracy and speed are of major concerns in developing a robust face
detection system for real-world applications. To this end, we propose a robust face detection …

In view of the slow detection speed caused by the huge amount of computation and
parameters in deep convolutional neural networks and the low accuracy by complex scenes …

This paper proposes a new approach to perform the problem of real-time face detection. The
proposed method combines primitive Haar-Like feature and variance value to construct a …

Applied to face detection, although AdaBoost is one of effective algorithms, it has some
limitations. A neighbor-eliminated boosting (NEB) algorithm is proposed to remedy these …

Face detection is the first step in many visual processing systems like face recognition,
emotion recognition, gender recognition and etc. In this paper, we propose a novel method …