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Face super-resolution reconstruction and recognition from low-resolution image sequences

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2 Author(s)
Di Zhang ; Dept. of Comput. Sci., Shaoguan Univ., Shaoguan, China ; Jiazhong He

Normal face recognition algorithms could result in very low recognition rates when the resolution of input faces is very low. In this paper, a new hybrid face recognition algorithm was proposed to tackle the problem of face recognition from low-resolution image sequences. The proposed approach first constructs a high-resolution face image by fully utilizing the sub-pixel information provided in the low-resolution sequences, and then performs Gabor feature based recognition. Experimental results showed that, with respect to applying face recognition to low-resolution face directly, the proposed approach improves recognition rate significantly.

Published in:

Computer Engineering and Technology (ICCET), 2010 2nd International Conference on  (Volume:2 )

Date of Conference:

16-18 April 2010