Registration Error Compensation for Face Recognition Using Eigenface 


Vol. 30,  No. 5, pp. 364-370, May  2005


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  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.

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  Cite this article

[IEEE Style]

J. Moon and B. Lee, "Registration Error Compensation for Face Recognition Using Eigenface," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 5, pp. 364-370, 2005. DOI: .

[ACM Style]

Ji-Hye Moon and Byung-Uk Lee. 2005. Registration Error Compensation for Face Recognition Using Eigenface. The Journal of Korean Institute of Communications and Information Sciences, 30, 5, (2005), 364-370. DOI: .

[KICS Style]

Ji-Hye Moon and Byung-Uk Lee, "Registration Error Compensation for Face Recognition Using Eigenface," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 5, pp. 364-370, 5. 2005.