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Registration Error Compensation for Face Recognition Using Eigenface  

Moon Ji-Hye (이화여자대학교 정보통신학과 영상처리연구실)
Lee Byung-Uk (이화여자대학교 정보통신학과 영상처리연구실)
Abstract
The first step of face recognition is to align an input face picture with database images. We propose a new algorithm of removing registration error in eigenspace. Our algorithm can correct for translation, rotation and scale changes. Linear matrix modeling of registration error enables us to compensate for subpixel errors in eigenspace. After calculating derivative of a weighting vector in eigenspace we can obtain the amount of translation or rotation without time consuming search. We verify that the correction enhances the recognition rate dramatically.
Keywords
Eigenface; Subpixel; Database;
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1 M.-H. Yang, D.J. Kriegman, and N. Ahuja, 'Detecting Faces in Images: A Survey,' IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No.1, pp. 34-58, Jan 2002   DOI   ScienceOn
2 M. Kirby, and L. Sirovich, 'Application of the Karhunen-Love Procedure for the Characterization of Human Faces,' IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 12, No.1, pp. 103-108, Jan 1990   DOI   ScienceOn
3 ftp://whitechapel.media.mit.edu/pub/images/ Media laboratory, Massachusetts Institute of Technology
4 W. Zhao, R Chellappa, A. Rosenfeld, and J. Phillips, 'Face Recognition: A Literature Survey,' Technical Report, CS-TR4167, Univ. of Maryland, 2000
5 M. Turk and A. Pentland, 'Face Recognitionusing Eigenface,' IEEE Conf. on Computer Vision and Pattern Recognition, pp. 586-591, Maui, Hawaii, May 1991
6 B.K. Gunturk, A.U. Batur, Y. Altunbasak, M.H. Hayes, III, and R.M. Mersereau, 'Eigenface-dornain super-resolution for face recognition,' IEEE Transactions on Image Processing, Vol. 12,No. 5,pp. 597-606, May 2003   DOI   ScienceOn