the goal of facial animation is to synthesize realistic facial animated images using computer graphics. because of its capability in creating facial animated images using a few amount of information, facial animation using feature vectors was extensively studied in recent years. in general, this method is considered as one of the performance-driven facial animation base methods. in this regard,...

Robustness of feature tracking is really important to recognize facial expressions and movements of human in the natural state. This paper presents a technique for a robust facial feature tracking for the human facial videos. Our technique first detects particular feature points by template matching, and then tracks the points in moving images by optical flow estimation. At the same time, the t...

This paper presents a hierarchical multi-state pose-dependent approach for facial feature detection and tracking under varying facial expression and face pose. For effective and efficient representation of feature points, a hybrid representation that integrates Gabor wavelets and gray-level profiles is proposed. To model the spatial relations among feature points, a hierarchical statistical fac...

Craniofacial reconstruction aims at estimating the facial outlook associated to an unknown specimen. Craniofacial reconstruction is generally based on the statistical tissue thickness on anthropometric landmarks. However, the features points alone are not enough for realistic reconstruction. So, in our paper, we take advantage of a reference facial model, through measuring the differences betwe...

This paper presents an automatic technique for detecting the 18-most important facial feature points using a statistically developed anthropometric face model. Most of the important facial feature points are located just about the area of mouth, nose, eyes and eyebrows. After carefully observing the structural symmetry of human face and performing necessary anthropometric measurements, we have ...

We propose a novel efficient 3-dimensional geometrical consistency criterion for detection of a set of facial feature points. Many face recognition methods employing a single image require localization of particular facial feature points and their performance is highly dependent on localization accuracy in detecting these feature points. The proposed method is able to calculate alignment error ...

In the paper, a methodology for individual face synthesis using given orthogonal photos is proposed. And an integrated speech-driven facial animation system is presented. Firstly, in order to capture given subject’s personal facial configuration, a novel coarse-to-fine strategy based on facial texture and deformable template is proposed to localize some facial feature points in the image of fro...

Facial expressions analysis is a vital part of the research in human-machine interaction. This chapter introduces an automatic recognition system for facial expression from a front view human face image. Obtaining an effective facial representation from initial face images is an essential phase for strong and efficient facial expression system. In this chapter we have developed a facial express...

Designing facial animation parameters according to a specific model can be time consuming. In this paper we present a fast approach to design facial animations based on minimal information (only feature points). All facial deformations are automatically computed from MPEG-4 feature points. We also present an extension of this approach that allows to personalize or to customize the deformations ...

In this work, a novel facial feature extraction method is proposed for automatic facial expressions recognition, which detecting local texture information, global texture information and shape information of the face automatically to form the facial features. First, Active Appearance Model (AAM) is used to locate facial feature points automatically. Then, the local texture information in these ...