Specific Face Feature Extraction for the Model of Facial Expression

Specific Face Feature Extraction for the Model of Facial Expression
Authors:MYAT THU AYE

Abstract: The specific face features extraction method based on the cubic B-Spline control curve approach is proposed. It will provide to the three dimensional modeling and recognizing the facial expression. The outline curves of eyes, nose and mouth are extracted by the integration of the region segmentation with morphological image processing and canny edge detection approach. These outline curves are reproduced into B-Spline curves with the desired number of points. The matching of the curve of input image and the various expression curves in a predefined data set is operated. Through the experimental results with acceptable errors, the proposed method work adequately. 

Keywords: B-Spline Control Points, Canny Edge Detection Method, Facial Expression, Outline Curves, Region Segmentation.

I. INTRODUCTION 

 The recognition and synthesizing of the human facial expression is important in many application areas contain the natural facial expressions for characters in films, games, various virtual environments, and facial avatars in instant communication programs and so on. Then the facial feature extraction work is occupied the essential role for improving the accuracy of facial expression recognition and synthesizing. The simple and first extraction method of specific facial features of a face is developed based on the cubic B-Spline curve and control points. The region segmentation with morphological image processing and canny edge detection approaches are applied for extracting the outline curves of the specific face features. 

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