An emotion detection algorithm using frontal facial image is presented in this paper. The algorithm is composed of three main stages: image processing stage and facial feature extraction stage, and emotion detection stage. In image processing stage, the face region and facial component is extracted by using fuzzy color filter, virtual face model, and histogram analysis method. The features for ...

Automatic localization of facial features is an essential step for many systems of face recognition, facial expression classification and intelligent vision-based human–computer interfaces. In this paper, we present automatic edge-based method of locating regions of prominent facial features from up-right facial images. The proposed localization scheme was tested on several public databases of ...

A technique that automatically locates specific facial points on an unknown face image is presented. This technique uses log Gabor wavelets to represent each facial point by embedding local surrounding features. Using a sample log Gabor response of a facial point, locations on the unknown face image that appear similar to the sample facial point are detected. We identify facial points by employ...

In this paper, an effective method is proposed to handle the facial expression recognition problem. The system detects the face and facial components including eyes, brows and mouths. Since facial expressions result from facial muscle movements or deformations, and Histogram of Oriented Gradients (HOG) is very sensitive to the object deformations, we apply the HOG to encode these facial compone...

In this paper algorithm to detects human facial features like the mouth, nose and eyes in a full frontal face image is proposed. The new algorithm is proposed in order to detect automatically face features (eyes, mouth and nose) and extract their corresponding geometrical point. This project presents and implements a facial feature point extraction and recognition method of facial expression an...

Previous approaches to model and analyze facial expression analysis use three different techniques: facial action units, geometric features and graph based modelling. However, previous approaches have treated these technique separately. There is an interrelationship between these techniques. The facial expression analysis is significantly improved by utilizing these mappings between major geome...

Previous studies have demonstrated the existence of adaptation aftereffects for facial expressions. Here we investigated which aspects of facial stimuli contribute to these aftereffects. In Experiment 1, we examined the role of local adaptation to image elements such as curvature, shape and orientation, independent of expression, by using hybrid faces constructed from either the same or opposin...

Biometrics is the field of technology devoted to verification or authentication of individuals using biological traits. A biometric authentication system verifies the identity of a claimant based on the person’s physical attributes, such as voice, face, or fingerprints. Its application areas include security applications, forensic work, law enforcement applications, and so on. Here we have divi...

Face and facial expressions play essential roles in interpersonal communication. Most of the current works on the facial expression recognition attempt to recognize a small set of the prototypic expressions such as happy, surprise, anger, sad, disgust and fear. However the most of the human emotions are communicated by changes in one or two of discrete features. In this paper, we develop a faci...