Face recognition based on 2D images under illumination and pose variations

Authors:
Sang-Il Choi;Chong-Ho Choi;Nojun Kwak
Affiliations:
School of Electrical Engineering and Computer Science, Seoul National University, #047, San 56-1, Sillim-dong, Gwanak-gu, Seoul 151-744, Republic of Korea;School of Electrical Engineering and Computer Science, Seoul National University, #047, San 56-1, Sillim-dong, Gwanak-gu, Seoul 151-744, Republic of Korea;Division of Electrical and Computer Engineering, Ajou University, San 5, Woncheon-dong, Yeongtong-gu, Suwon 443-749, Republic of Korea
Venue:
Pattern Recognition Letters
Year:
2011

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Abstract

We propose a novel 2D image-based approach that can simultaneously handle illumination and pose variations to enhance face recognition rate. It is much simpler, requires much less computational effort than the methods based on 3D models, and provides a comparable or better recognition rate.