Most automatic expression analysis systems attempt to recognize a small set of prototypic expressions, such as happiness, anger, surprise, and fear. Such prototypic expressions, however, occur rather infrequently. Human emotions and intentions are more often communicated by changes in one or a few discrete facial features. In this paper, we develop an Automatic Face Analysis (AFA) system to ana...

Within the past decade, significant effort has occurred in developing methods of facial expression analysis. Because most investigators have used relatively limited data sets, the generalizability of these various methods remains unknown. We describe the problem space for facial expression analysis, which includes level of description, transitions among expression, eliciting conditions, reliabi...

Facial expression, resulting from movements of the facial muscles, is one of the most powerful, natural, and immediate means for human beings to communicate their emotions and intentions. Some examples of facial expressions are shown in Fig. 1. Darwin (1872) was the first to describe in detail the specific facial expressions associated with emotions in animals and humans; he argued that all mam...

Human facial expression analysis and synthesis play a central role in the social context, being investigated by many psychologists over the time. Moreover, an increased interest has been shown in developing an automated facial expression analyzer capable of recognizing, classifying and then synthesizing human expressions on synthetic “talking heads”. This paper surveys the state of the art in t...

258 Abstract— Expression detection is useful as a non-invasive method of lie detection and behaviour prediction. However, these facial expressions may be difficult to detect to the untrained eye. In this paper we implements facial expression recognition techniques using Principal Component analysis (PCA). Experiments are performed using standard database like Japanese Female Facial Expression (...

We introduce a novel framework for automatic 3D facial expression analysis in videos. Preliminary results demonstrate editing facial expression with facial expression recognition. We first build a 3D expression database to learn the expression space of a human face. The real-time 3D video data were captured by a camera/projector scanning system. From this database, we extract the geometry defor...

Facial expression recognition is a challenging task. A facial expression is formed by contracting or relaxing different facial muscles on human face that results in temporally deformed facial features like wide-open mouth, raising eyebrows or etc. The challenges of such system have to address with some issues. For instances, lighting condition is a very difficult problem to constraint and regul...

This paper addresses the issue of face representations for facial expression analysis and synthesis. In this context, a global appearance model is used and two bilinear factorization models are subsequently proposed to separate expression and identity factors from the global appearance parameters. A feature extraction technique inspired from the above representations is then proposed which cons...

For facial expression analysis different-different approaches have been implemented. First thing preprocessing step is done and after that face detection algorithm applied for face detection. After face detection facial feature tracking or feature is extracted on the behalf of obtained feature value. Differentdifferent classifier likes ANN, HMM, SVM is used to train the feature value obtained a...