Children's recognition of familiar own-age peers was investigated. Chinese children (4-, 8-, and 14-year-olds) were asked to identify their classmates from photographs showing the entire face, the internal facial features only, the external facial features only, or the eyes, nose, or mouth only. Participants from all age groups were familiar with the faces used as stimuli for 1 academic year. T...

A novel approach for the analysis of facial features is presented. Instead of analyzing facial features with global models (such as the popular deformable templates) we perform a local analysis of the facial features. This local analysis is integrated in a system for diagnosis support of patient aaicted with single{sided facial paresis. This kind of paresis produces asymmetries in the patient's...

Race categorization of faces is a fast and automatic process and is known to affect further face processing profoundly and at earliest stages. Whether processing of own- and other-race faces might rely on different facial cues, as indicated by diverging viewing behavior, is much under debate. We therefore aimed to investigate two open questions in our study: (1) Do observers consider informatio...

Facial expression analysis is an attractive, challenging and important field of study in facial analysis. It's important applications include many areas such as human–computer interaction, human emotion analysis, biometric authentication, exhaustion detection and data-driven animation. For successful facial expression recognition, the first step is to arrive at an appropriate facial repres...

This paper presents an approach of face recognition system using Backpropagation learning neural network algorithm introducing appearance and shape based facial features to enhance the efficiency with different lighting variations. To extract the appearance and shape based facial feature, Active Appearance Model (AMM) has been applied. Appearance based facial feature is useful when the lighting...

Automatic facial expression analysis is an interesting and challenging problem, and impacts important applications in many areas such as human–computer interaction and data-driven animation. Deriving an effective facial representation from original face images is a vital step for successful facial expression recognition. In this paper, we empirically evaluate facial representation based on stat...

Facial expressions play a major role in Face Recognition Systems and image processing techniques of Human Machine Interface. There are several techniques for facial features selection like Principal Component Analysis, Distance calculation among face components, Template Matching. This algorithm describes a simple template matching based facial feature selection technique and detects facial exp...

Creating a friendly human interface for visual communication has become a popular and significant topic. One key issue is to construct a three-dimensional (3-D) face model as a visual representation. A 3-D face model can present the desired 3-D facial images related to a specified person by using the realistic 3-D structure and texture description. In order to automatically model the human face...

Studies in psychology show that not all facial regions are of importance in recognizing facial expressions and different facial regions make different contributions in various facial expressions. Motivated by this, a novel framework, named Feature Disentangling Machine (FDM), is proposed to effectively select active features characterizing facial expressions. More importantly, the FDM aims to d...

An Intelligent Biometrics systems aims at localizing and detecting human faces from supplied images so that further recognition of persons and their facial expression recognition will be easy. Based on facial expression; one can predict about intension of person Method includes supplying a face image as an input and facial features like eyebrow, eyes, nose, and mouth are given as output after d...