Earticle

초록

영어

Face recognition is a well-known approach for identity recognition. Variation in head pose is a main factor that interferes with face recognition systems. This paper proposes an efficient head pose determination method and its application to face recognition on a multi-pose face DB in order to solve the pose variation-related problem. The first step is to detect a facial region using Adaboost. Next, after undergoing preprocessing on the detected face, a mask is placed to cover it. At the detected facial region, the pose is determined by relations of the position of the centroid points of the eyes and lip regions detected by using ellipse-fitting method. Finally, face recognition is conducted by applying template matching between a set of facial images in multi-pose face DB pertinent to the determined head pose and the input face image. In experiments, the proposed approach outperformed the conventional PCA-based face recognition approach depending on a single-pose face DB.

목차

Abstract
 1. Introduction
 2. Multi-Pose Face Database and Head Pose Determination
  2.1. Multi-Pose Face Database
  2.2. Head Pose Determination
 3. Face Recognition on Multi-Pose Face Database
 4. Experimental Results
 5. Conclusions
 References

키워드

저자

• Jun Lee [ Department of Intelligent Robot Engineering, Mokwon University, Republic of Korea ]
• Jeong-Sik Park [ Department of Intelligent Robot Engineering, Mokwon University, Republic of Korea ]
• Gil-Jin Jang [ School of Electronics Engineering, Kyungpook National University, Republic of Korea ]
• Yong-Ho Seo [ Department of Intelligent Robot Engineering, Mokwon University, Republic of Korea ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605