This paper presents a hybrid method for synthesizing natural animation of facial expression with data from motion capture. The captured expression was transferred from the space of source performance to that of a 3D target face using an accurate mapping process in order to realize the reuse of motion data. The transferred animation was then applied to synthesize the expression of the target mod...

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 rst frame, are tracked in successive frames. Then, the feature points are connected with Delaunay triangulation so that the motion of each point relative to the surrounding points can be computed. Finally, muscle motions are estim...

This paper proposes an automated method for extracting 39 feature point$ from 3D facial iniage, and shows that 3D facial caricaturing can be realized by such these smaller number of feature point. and that these 39 feature points could be extmcted automatically. As a result, it was clarified by comparing 3D caricature of 3D PICASSO system with that of a famous caricaturist Mr. Yoshida that 3D f...

| Many multimedia applications require the synthesis of facial expressions. We demonstrate the synthesis of di erent degrees of various 2D grayscale facial expressions using the Radial Basis Function (RBF) neural network. The RBF network is used to generate spatial displacement of a set of facial feature points as in multidimensional density interpolation. We have implemented two RBF networks f...

We have developed a system that recognizes the facial expressions in Taiwanese Sign Language (TSL) using a phoneme-based strategy. A facial expression is decomposed into three facial phonemes, including eyebrow, eye, and mouth. A fast method is proposed for locating the areas facial phonemes. The shapes of the phonemes were then matched by the deformable template method, giving feature points r...

It is an important task to locate facial feature points due to the widespread application of 3D human face models in medical fields. In this paper, we propose a 3D facial feature point localization method that combines the relative angle histograms with multiscale constraints. Firstly, the relative angle histogram of each vertex in a 3D point distribution model is calculated; then the cluster s...

This paper proposes a 3D model based pose invariant face recognition method that can recognize a face of a large rotation angle from its single nearly frontal view. The proposed method achieves the goal by using an analytic-to-holistic approach and a novel algorithm for estimation of ear points. Firstly, the proposed method achieves facial feature detection, in which an edge map based algorithm...

Facial expression transfer has long been an important topic in computer graphics and vision, driven by applications in character animation, computer games, advertising and more recently, healthcare. However, how to make the synthesized facial expression realistic remains a challenge due to the complexity of human facial anatomy and our inherent sensitivity to facial expression. The current thes...