Automatic facial expression recognition has become a progressive research area since it plays a major role in human-computer-interaction. The facial expression recognition finds major application in areas like social interaction and social intelligence. A review of various techniques used in facial expression recognition like principal component analysis (PCA), linear discriminant analysis (LDA...

Facial Expression Recognition has been a very important topic for research in computer pattern recognition and currently there is no method of facial Expression recognition system that have 100% recognition rate. The purpose of this research paper is to analysis of performance of Gabor filter and average Gabor filter. Feature extraction is the key step on which recognition rate depends for faci...

Facial recognition technology is effective in human computer communication. Robustness for facial recognition is necessary because face views change in many ways due to position, expression, and light. We propose a facial recognition system robust for facial scale variations, which is mainly composed of our flexible feature matching and rapid parallel estimation of facial position and scale.

Facial expression plays significant role for human beings to communicate their emotions. Automatic facial expression analysis is a flourishing area of research in computer science, and it is also still a challenge. This paper discusses the application of a natural network based facial expression recognition using fisherface. Back propagation neural network is used as a classifier for classifyin...

We developed a method and a system for facial expression recognition of a speaker using vowel judgment and features of a thermal face image. In this study, a speech recognition system saves thermal images at the three timing positions of just before speaking, and just when speaking the phonemes of the first and last vowels. The face direction is estimated to select front-view faces as the targe...

a r t i c l e i n f o Keywords: Facial behaviour analysis Facial expression recognition 3D facial surface 3D facial surface sequences (4D faces) Automatic facial expression recognition constitutes an active research field due to the latest advances in computing technology that make the user's experience a clear priority. The majority of work conducted in this area involves 2D imagery, despite t...

Facial expressions are widely used in the behavioral interpretation of emotions, cognitive science, and social interactions. In this paper, we present a novel method for fully automatic facial expression recognition in facial image sequences. As the facial expression evolves over time facial landmarks are automatically tracked in consecutive video frames, using displacements based on elastic bu...

Facial expression recognition has potential applications in different aspects of day-to-day life not yet realized due to absence of effective expression recognition techniques. This paper discusses the application of Gabor filter based feature extraction in combination with learning vector quantization (LVQ) for recognition of seven different facial expressions from still pictures of the human ...

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...

Facial expression is one form of communication which being non-verbal in nature precedes verbal both origin and conception. Most the existing methods for Automatic Expression Recognition (AFER) are mainly focused on global feature extraction assuming that all facial regions contribute equal amount discriminative information to predict class. The detection localization have significant contribut...