Best Gabor filter design method of facial features detection;

Based on an analysis of the wavelet muhi2scale transform in target image,this paper puts forward a method that extracts face feature based on wavelet analysis and realized this method with MATLAB.

Provided frontal and side facial images and a general 3D polygonal facial mesh with face features, facial feature lines are fitted in the method based-on wavelet analysis.

The extraction of face features is an important part in the process of face automatic recognition.

This paper describes a method for semi automatic facial feature tracking in video sequences.

The problem of facial feature detection and tracking, a key technology in face information processing, has recently emerged into an important subject in the fields of pattern recognition and computer vision.

This thesis gives the future application of 3D face models and the present research; defines the facial feature points on the research of human face s character; researches on extracting facial feature points from h.

Adaptive Spatial Error Concealment Based on Face Features

In this paper,the improved method of active shape model is used to extract face feature points accurately,then a coarse estimation value is obtained by using face feature points,and takes this coarse value as the starting value,precise value of 3D face pose is obtained based on linear regression iteration.