NDLI: 3D head tracking and pose-robust 2D texture map-based face recognition using a simple ellipsoid model

Content Provider	IEEE Xplore Digital Library
Author	Kwang Ho An Myung Jin Chung
Copyright Year	2008
Description	Author affiliation: Electr. Eng. & Comput. Sci. Dept., Korea Adv. Inst. of Sci. & Technol., Daejeon (Kwang Ho An; Myung Jin Chung)
Abstract	A human face provides a variety of different communicative functions such as identification, the perception of emotional expression, and lip-reading. For these reasons, many applications in robotics require tracking and recognizing a human face. A novel face recognition system should be able to deal with various changes in face images, such as pose, illumination, and expression, among which pose variation is the most difficult one to deal with. Therefore, face registration (alignment) is the key of robust face recognition. If we can register face images into frontal views, the recognition task would be much easier. To align a face image into a canonical frontal view, we need to know the pose information of a human head. Therefore, in this paper, we propose a novel method for modeling a human head as a simple 3D ellipsoid. And also, we present 3D head tracking and pose estimation methods using the proposed ellipsoidal model. After recovering full motion of the head, we can register face images with pose variations into stabilized view images which are suitable for frontal face recognition. By doing so, simple and efficient frontal face recognition can be easily carried out in the stabilized texture map space instead of the original input image space. To evaluate the feasibility of the proposed approach using a simple ellipsoid model, 3D head tracking experiments are carried out on 45 image sequences with ground truth from Boston University, and several face recognition experiments are conducted on our laboratory database and the Yale Face Database B by using subspace-based face recognition methods such as PCA, PCA+LAD, and DCV.
Starting Page	307
Ending Page	312
File Size	458147
Page Count	6
File Format	PDF
ISBN	9781424420575
DOI	10.1109/IROS.2008.4650742
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-09-22
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Head Face Three dimensional displays Face recognition Solid modeling Humans Ellipsoids
Content Type	Text
Resource Type	Article

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