and interpret complex facial motions. 1 Introduction The communicative power of the face makes the modeling of facial expressions and the tracking of the expressive articulations of a face an important problem in computer vision and computer graphics. Consequently, several researchers have begun to develop

of motion were manipulated. In a second experiment subjects were shown two views of the same facial animation and were asked which of the two avatars was the same as the initial animation. Initial views could be rotated to 15 ° and 45 ° or 45 ° and 75 ° while test views were presented at 30 ° or 60°. Learnt

and time, such models not only accurately model non-rigid facial motions but also provide a concise description of the motion in terms of a small number of parameters. These parameters are intuitively related to the motion of facial features during facial expressions and we show how expressions

This thesis presents work concerning the analysis of behaviour specific facial motion and its automatic synthesis. Psychology research has shown that facial motion provides important cues to the human visual system for recognition of emotion, identity and gender. Similarly, in Computer Vision

While biological motion refers to both face and body movements, little is known about the visual perception of facial motion. We therefore examined alpha wave suppression as a reduction in power is thought to reflect visual activity, in addition to attentional reorienting and memory processes

In this study we investigate the viewpoint dependency of complex facial expressions versus simple facial motions (so-called “action units ” [Ekman and Friesen 1978]). The results not only shed light on the cognitive processes underlying the processing of complex

. A method for extracting facial motion parameters is proposed. The method consists of three steps. First, the feature points of the face, selected automatically in the first frame, are tracked in successive frames. Then, the feature points are connected with Delaunay triangulation so

Facial motion is a special type of biological motion that transmits cues for socio-emotional communication and enables the discrimination of properties such as gender and identity. We used animated average faces to examine the ability of adults with autism spectrum disorders (ASD) to perceive

Facial motion carries essential information about other people’s emotions and intentions. Most previous studies have suggested that facial motion is mainly processed in the superior temporal sulcus (STS), but several recent studies have also shown involve-ment of ventral temporal face

variations, and facial deformations due to changes of expression, occlusions of the face to be tracked and clutter in the scene that makes it difficult to distinguish the face from the other objects. Main Body Text