Extraction of Human Facial Features based on Haar Feature with Adaboost and Image Recognition Techniques

被引：0
|
作者：
Hoang Minh Phuong [1 ]
Le Dung [1 ]
Tony de Souza-Daw [2 ]
Nguyen Tien Dzung [1 ]
Thang Manh Hoang [1 ]
机构：
[1] Hanoi Univ Sci & Technol, Sch Elect & Telecommun, Hanoi, Vietnam
[2] RMIT Univ, Ctr Technol, Ho Chi Minh, Vietnam
来源：
2012 FOURTH INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND ELECTRONICS (ICCE) | 2012年
关键词：
Adaboost; Face Classification; Face expression recognition;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Locating facial feature in face images is an important stage for numerous facial image applications such as face recognition, face expression recognition and face tracking and lip reading. In this paper, we present a robust method for detecting facial feature points in frontal face images. The method adopts face detection algorithm of Viola-Jones face detector. The facial regions are than extracted by applying Haar feature based Adaboost algorithm for detecting eye, nose and mouth regions. Finally, template matching and several image processing techniques are utilized to detect feature points. Experiment on the IMM database, CVL database and our laboratory database is carried out to demonstrate and verify the proposed method.
引用
收藏
页码：302 / 305
页数：4
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