Most studies investigating the recognition of facial expressions have focused on static displays of intense expressions. Consequently, researchers may have underestimated the importance of motion in deciphering the subtle expressions that permeate real-life situations. In two experiments, we examined the effect of motion on perception of subtle facial expressions and tested the hypotheses that ...

Most studies investigating the recognition of facial expressions have focused on static displays of intense expressions. Consequently, researchers may have underestimated the importance of motion in deciphering the subtle expressions that permeate real life situations. In two experiments, we examined the effect of motion on perception of subtle facial expressions and tested the hypotheses that ...

Static and dynamic realism are both important in computer facial animation. However, for embodied conversational agents in interfaces, and for agents or avatars in virtual environments, movement and behaviour are more important than photorealism. In this paper we summarise our work on two systems that feature aspects of this dynamic realism: coarticulation for visual speech and facial tissue de...

Multiple lines of evidence converge on the human amygdala as a core moderator of facial emotion perception. The major subregions of the human amygdala have been anatomically delineated, but the individual contribution of these subregions to facial emotion perception is unclear. Here we combined functional MRI (fMRI) with cytoarchitectonically defined maximum probabilistic maps to investigate th...

Individual Identification using Dynamic Facial Expressions with Hidden Active Appearance Markov Models. Adam Matthew Gaweda, 2010. Thesis Paper, University of North Carolina Wilmington. Determining identity is becoming an increasingly important and heavily researched area of computational intelligence. Typically measurable biological characteristics, or biometrics, are used to quantify the phys...

In this paper, we present a method to generate dynamic textures for facial expression. We first build a facial texture library for a head model. This series of facial textures correspond to each facial expression. For each facial expression we calculate the expression parameters and store it in the library. We use the expression parameter to transfer an expressive texture from one character to ...

Detection of faces and facial patterns in static or video images is an important but challenging problem in computer vision, as faces may present in different scales, orientations, positions and poses in an uncontrolled background. To date, numerous approaches have been implemented for face and facial pattern detection [1-4]. These approaches have been grouped into four broad categories [2]. Th...

OBJECTIVE Patients with schizophrenia have an impaired ability to respond to faces and may specifically show an impaired response to dynamic facial expressions. Here we investigated the responses of schizophrenic patients and healthy controls to dynamic facial images using event-related potentials (ERPs). METHODS We showed 13 schizophrenic patients and 13 healthy controls visual stimuli compr...

We introduce a new markerless 3D face tracking approach for 2D video streams captured by a single consumer grade camera. Our approach is based on tracking 2D features in the video and matching them with the projection of the corresponding feature points of a deformable 3D model. By this we estimate the initial shape and pose of the face. To make the tracking and reconstruction more robust we ad...

Our improved understanding of the pathophysiology of facial lines, wrinkles, and furrows has broadened the treatment options for a variety of facial cosmetic blemishes. The persistence or recurrence of certain facial rhytids after surgery has confirmed the lack of full comprehension of their origin. Glabellar forehead furrows (frown lines) and lateral canthal rhytids (crow's feet) have been the...