This paper studies a new method for three-dimensional (3D) facial model adaptation and its integration into a Text-to-Speech (TTS) system. The TTS System pronounces, in real time, English or Greek speech and simultaneously animates the adapted face model, thus simulating a natural talking face. The 3D facial adaptation requires a set of two orthogonal views of the user’s face with a number of f...

This work concerns the use of biometric features, resulting from the look of a face, for the verification purposes. Different methods of selection and feature analysis during face recognition are presented here. The description contains mainly analysis possibilities and also identity verification based on asymmetric facial features—in later stages. The new verification method has been introduce...

Following the success in 3D face recognition, the face processing community is now trying to establish good 3D facial expression recognition. Facial expressions provide the cues of communication in which we can interpret the mood, meaning and emotions at the same time. With current advanced 3D scanners technology, direct anthropometric measurements (i.e. the comparative study of sizes and propo...

In this paper we present a non-intrusive model-based gaze tracking system. The system estimates the 3-0 pose of a user’s head by tracking as few as six facial feature points. The system locates a human face using a statistical color model without any mark on the face and then finds and tracks the facial features, such as eyes, nostrils and lip corners. A full perspective model is employed to m ...

In this paper we present a non-intrusive model-based gaze tracking system. The system estimates the 3-D pose of a user’s head by tracking as few as six facial feature points. The system locates a human face using a statistical color model without any mark on the face and then finds and tracks the facial features, such as eyes, nostrils and lip corners. A full perspective model is employed to ma...

Research on 3D face recognition [1,9] has been intensified recently due to the significant advances of the 3D imaging technology. Most of the research focuses on the investigation of 3D range data obtained by a 3D scanner. Although 3D capture systems provide highly accurate 3D face information, it is not trivial to process the large amount of facial surface data. For example, it is hard to keep...

In this report, first we explain how we moved toward implementing an algorithm for tracking facial features. The explanations, thoroughly covers our experiences, both our failures and successful trials. As a failed experienced of facial feature tracking, we have explained the correlation-based tracking and its improved extension. The second tracking method, is devoted to Active Appearance Model...

This paper presents a comprehensive survey of facial feature point detection with the assistance of abundant manually labeled images. Facial feature point detection favors many applications such as face recognition, animation, tracking, hallucination, expression analysis and 3D face modeling. Existing methods can be categorized into the following four groups: constrained local model (CLM)-based...

We have developed a fast facial feature point detection and pose estimation system. This system can detect facial points and estimate 3D pose angles in various conditions including facial expression changes and partial occlusion, etc. Only one facial image is needed as input and we don’t need special devices such as a blinking LED or a dual/stereo camera, etc. Moreover, no calibration process i...