This thesis presents a fully automatic facial expression analysis system based on the Facial Action Coding System (FACS). FACS is the best known and the most commonly used system to describe facial activity in terms of facial muscle actions (i.e., action units, AUs). We will present our research on the analysis of the morphological, spatio-temporal and behavioural aspects of facial expressions....

Facial Expression plays an important role in human communication, allowing people to express themselves without the use of any verbal means but still understanding each other's mood. Thus the interfaces must have the ability to detect any kind of change in the behavior of the user and to communicate based on the information available through interaction rather than the commands given by us...

In automated face recognition, a human face can be described by several features, but very few of them are used in combination to improve discrimination ability. This paper demonstrates how different feature sets can be used to enhance discrimination for the purpose of face recognition. We have used geometrical features and Gabor features in combination for face recognition. The geometrical fea...

The next generation concept evolving in the field of Artificial Intelligence is how to improve Machine Perception and Social Intelligence by making a smarter system capable of reading and understanding human behavior. Human beings communicate with each other through mutual conversations and they process this information by one of the following medium: speech and vision. Therefore, facial emotio...

It is important in computer animation to synthesize expressive facial animation for avatars from videos. Some traditional methods track a set of semantic feature points on the face to drive the avatar. However, these methods usually suffer from inaccurate detection and sparseness of the feature points and fail to obtain high-level understanding of facial expressions, leading to less expressive ...

This paper describes a face recognition algorithm using feature points of face parts, which is classified as a feature-based method. As recognition performance depends on the combination of extracted feature points, we utilize all reliable feature points effectively. From moving video input, well-conditioned face images with a frontal direction and without facial expression are extracted. To se...

This paper evaluates facial recognition based on Local Binary Patterns on three orthogonal planes, Pyramid of Histogram of Gradients, and a geometrical feature based on distance between fiducial points for person-independent facial expression recognition. Different machine learning methods are systematically examined on two databases (posed and spontaneous). For posed database Cohn-Kanade has b...

Facial caricature as a facial image media acts as an interface between the user and the computer. We developed the facial caricaturing robot “COOPER” (Fig. 1) that was exhibited at the Prototype Robot Exhibition of EXPO 2005 [1]. COOPER watches the face of a person seated at the chair, obtains facial images, and analyzes the images to extract 251 feature points to generate his facial line drawi...

This study investigates two different methods of feature extraction for person-independent facial expression recognition from images. The logarithmic Gabor filters and the local binary pattern operator (LBP) were used for feature extraction. Then, the optimum features were selected based on minimum redundancy and maximum relevance algorithm (MRMR). Six different facial expressions were consider...