A hybrid technique based on facial feature extraction and Principal Component Analysis (PCA) is presented for frontal face detection in color images. Facial features such as eyes and mouth are automatically detected based on properties of the associated image regions, which are extracted by RSST color segmentation. While mouth feature points are identified using the redness property of regions,...

This paper presents a new idea for detecting an unknown human face in input imagery and recognizing his/her facial expression. The objective of this research is to develop highly intelligent machines or robots that are mind implemented. A Facial Expression Recognition system needs to solve the following problems: detection and location of faces in a cluttered scene, facial feature extraction, a...

Facial features are frequently used to represent local properties of a human face image in computer vision applications. In this paper, we present a fast algorithm that can extract the facial features online such that they can give a satisfying representation of a face image. It includes one step for a coarse detection of each facial feature by AdaBoost and another one to increase the accuracy ...

A fully automated 3D face reconstruction system for faces in 2D images is presented. It is implemented incorporating a method for facial feature detection into the initialization of the 3D face reconstruction process provided by Blanz et al.[2][3]. The initialization of that method takes alignments of previously selected facial feature points with their according vertices in the 3D face model. ...

This paper studies a new method for three-dimensional (3D) facial model adaptation and its integration into a text-to-speech (TTS) system. The 3D facial adaptation requires a set of two orthogonal views of the user’s face with a number of feature points located on both views. Based on the correspondences of the feature points’ positions, a generic face model is deformed nonrigidly treating ever...

In this paper, we propose a method for synthesizing arbitrarily oriented facial views from only two facial images. The method includes the following features: unlike the 2-D interpolation method, the views by true 3-D rotation can be generated; unlike the stereo, the camera parameters of the two input images are not necessary; although it is based on the structure-frommotion theory, the 3-D str...

Analysis of human emotion plays an important role in interaction between human and machine communication. The most expressive way to extract and understand of human emotion is by facial expression analysis. This paper proposes a novel recognition method of multiple emotions from facial expression running on mobile environments. Especially, we formulate the classification model of facial ambiguo...

Realistic facial animation transfer from one individual to others has been a persistent challenge. In this paper, we present an effective method that transfers facial animation from 2D videos onto 3D faces in a visually pleasing manner. Our method is based on a Laplacian deformation framework. We represent the facial animation with the displacements of a set of feature points. By the assumption...

Facial feature extraction is a fundamental problem in image processing. Correct extraction of features is essential for the success of many applications. Typical feature extraction algorithms fail for low resolution images which do not contain sufficient facial detail. In this paper, a region-based super-resolution aided facial feature extraction method for low resolution video sequences is des...

We studied the tracking theory based on Candide3 facial model and according to the research we further developed the tracking process. Based on the research of facial tracking, we put forward a dynamic feature extraction method based on six parameters of facial model. We introduced the active appearance model algorithm to locate and track feature points of facial expression, then studied the tr...