This paper describes a fast face identification method with Gabor filters. Two efforts are made to achieve the acceptable processing speed: 1) we design the optimal Gabor filters with the arrangement theory that uses a few directions and layers. 2) The transformation with Gabor filters (as called Gabor transformation) is only done over the regions around the facial feature points, not the whole...

In this paper, we investigate the behavior of Gabor responses a t automatically located facial feature points for face recognition. In our approach, a set of feature points on the facial landmarks is selected, where features of interest are eyes, nose, mouth and left and right contours of the face. As a preprocessing step all images in the database are normalized, eye positions in the normalize...

We present an algorithm for 3-D face modeling from a frontal and a profile view images of a person’s face. The algorithm starts by computing the 3D coordinates of automatically extracted facial feature points. The coordinates of the selected feature points are then used to deform a 3D generic face model to obtain a 3D face model for that person. Procrustes Analysis is used to globally minimize ...

The evaluation and measurement of human body dimensions are achieved by physical anthropometry. The main goal of this research is to optimization of facial feature point by establishing a mathematical relationship among facial features and used optimize feature points for age classification. According to this proposes method, sixteen Euclidean distances are calculated from the eighteen selected...

Wepropose a newmethod for analyzing the dynamics of facial expressions to identify persons using Active AppearanceModels and accurate facial feature point tracking. Several methods have been proposed to identify persons using facial images. In most methods, variations in facial expressions are one trouble factor. However, the dynamics of facial expressions are one measure of personal characteri...

In this paper a facial feature point tracker that is motivated by applications such as human-computer interfaces and facial expression analysis systems is proposed. The proposed tracker is based on a graphical model framework. The facial features are tracked through video streams by incorporating statistical relations in time as well as spatial relations between feature points. By exploiting th...

Facial feature point tracking is used as a primary input in several systems that perform affect recognition using facial expressions. To determine the efficacy of automatically extracted facial feature points in encoding emotional content, we conducted an experiment that compared human raters judgements of emotional expressions between actual video clips and three automatically generated repres...

This paper addresses the problem of facial feature detection and tracking in real-time using a single active camera. The variable parameters of the camera (i.e. pan, tilt and zoom) are changed adaptively to track the face of the agent in successive frames and detect the facial features which may be used for facial expression analysis for surveillance or mesh generation for animation purposes, a...

Extract of facial feature points has become an important issue in many applications, such as face recognition, expression recognition, and face detection. A method of facial feature extraction-based and corner detection is presented in this paper. In this method we develop a technique for extracting the facial features from a color image captured by the online webcam, under normal lighting cond...

Extract of facial feature points has become an important issue in many applications, such as face recognition, expression recognition, and face detection. A method of facial feature extraction-based and corner detection is presented in this paper. In this method develop a technique for extracting the facial features from a color image captured by the online webcam, under normal lighting conditi...