In this paper, we present a connectionist approach for detecting and precisely localizing semi-frontal human faces in complex images, making no assumption about the content or the...
Abstract. In this paper, we propose a heterogeneous committee machine for face processing including face detection and recognition. Our proposed system consists of two components, ...
Kim-Fung Jang, Ho-Man Tang, Michael R. Lyu, Irwin ...
This paper presents a system that can automatically recognize four different static human body postures in video sequences. The considered postures are standing, sitting, squattin...
In this paper, we propose a new method for face detection from cluttered images. We use a polynomial neural network (PNN) for separation of face and non-face patterns while the co...
This paper describes a real-time approach for face detection and selection of frontal views, for further processing. Typically, face detection papers provide results for a set of ...