Multi-view face detection in open environments is a challenging task, due to the wide variations in illumination, face appearances and occlusion. In this paper, a robust method for multi-view face detection in open environments, using a combination of Gabor features and neural networks, is presented. Firstly, the effect of changing the Gabor filter parameters (orientation, frequency, standard d...

In the natural world, faces are not isolated objects but are rather encountered in the context of the whole body. Previous work has studied the perception of combined faces and bodies using behavioural and electrophysiological measurements, but the neural correlates of emotional face-body perception still remain unexplored. Here, we combined happy and fearful faces and bodies to investigate the...

background change theories provide an opportunity for organizational managers to plan, monitor and evaluate changes using a framework which enable them, among others, to show a fast response to environmental fluctuations and to predict the changing patterns of individuals and technology. the current study aimed to explore whether the change in the public accounting system of the iranian health ...

this contrastive study, in the first place, examined the generic structure and, in the second place, explored the face theory proposed by arundale (2006) in 140 doctoral dissertation acknowledgments written by native speakers of persian (nsp) and native speakers of english (nse) in 7 disciplines representing soft sciences to find out what discourse genre components writers employ to articulate ...

A great challenge to the field of visual neuroscience is to understand how faces are encoded and represented within the human brain. Here we show evidence from functional magnetic resonance imaging (fMRI) for spatially distributed processing of the whole face and its components in face-sensitive human visual cortex. We used multi-class linear pattern classifiers constructed with a leave-one-sca...

Face recognition has been a very active research area in the past two decades. Many attempts have been made to understand the process how human beings recognize human faces. It is widely accepted that face recognition may depend on both componential information (such as eyes, mouth and nose) and non-componential/holistic information (the spatial relations between these features), though how the...

This paper presents a novel technique to automatically locate the face of a person in a videophone image. The proposed technique makes use of the intensity values of both luminance and chrominance components of the image. It detects face location by exploiting the distribution property of these components. The usefulness of face location information is also presented.