The Study of Automatic Feature Capture System for 3D Face Recognition

• Main Authors: Yan Jie Huang, 黃彥傑
• Other Authors: 吳明川
• Format: Others
• Language: zh-TW
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/6eu8ju

碩士 === 國立臺北科技大學 === 自動化科技研究所 === 94 === This research develops a system which can recognize three-dimensional human facial expression. In this study, Dynamic Skin Color Scale (DSCS) and Grey Edge Method are used to capture the key feature points. DSCS techniques have the advantage of less effect by light source. In order to effectively obtain the feature point and minimize the error comparison, the recognition process is divided into two steps and combined with RGB contrast enhancement. In addition, some affine coefficient invariable theorem are used as the basis for recognition. The selection of system reference plan is at the eye position, therefore, the feature point will not missing when the face is moving. In order to enhance the robust recognition, many types of expression training are added to each Relative Affine coefficient.