Face detection is a canonical example of a rare event detection problem, in which target patterns occur with much lower frequency than nontargets. Out of millions of face-sized wi...
In this paper, we propose a novel scheme for automatic and fast detection of human faces in color images where the number, the location, the orientation and the size of the faces ...
In this paper, a novel sparse feature set is introduced into the Adaboost learning framework for multi-view face detection (MVFD), and a learning algorithm based on heuristic sear...
While face detection seems a solved problem under general conditions, most state-of-the-art systems degrade rapidly when faces are partially occluded by other objects. This paper ...
Jie Chen, Shiguang Shan, Shengye Yan, Xilin Chen, ...
This work describes an approach for face detection, which is the rst stage of any fully automatedhumanface recognition system. We propose several enhancements to a feature-based ap...