DocumentCode :
3601327
Title :
Simultaneous Hallucination and Recognition of Low-Resolution Faces Based on Singular Value Decomposition
Author :
Muwei Jian ; Kin-Man Lam
Author_Institution :
Dept. of Comput. Sci. & Technol., Ocean Univ. of China, Qingdao, China
Volume :
25
Issue :
11
fYear :
2015
Firstpage :
1761
Lastpage :
1772
Abstract :
In video surveillance, the captured face images are usually of low resolution (LR). Thus, a framework based on singular value decomposition (SVD) for performing both face hallucination and recognition simultaneously is proposed in this paper. Conventionally, LR face recognition is carried out by super-resolving the LR input face first, and then performing face recognition to identify the input face. By considering face hallucination and recognition simultaneously, the accuracy of both the hallucination and the recognition can be improved. In this paper, singular values are first proved to be effective for representing face images, and the singular values of a face image at different resolutions have approximately a linear relation. In our algorithm, each face image is represented using SVD. For each LR input face, the corresponding LR and high-resolution (HR) face-image pairs can then be selected from the face gallery. Based on these selected LR-HR pairs, the mapping functions for interpolating the two matrices in the SVD representation for the reconstruction of HR face images can be learned more accurately. Therefore, the final estimation of the high-frequency details of the HR face images will become more reliable and effective. The experimental results demonstrate that our proposed framework can achieve promising results for both face hallucination and recognition.
Keywords :
estimation theory; face recognition; image capture; image reconstruction; image representation; image resolution; singular value decomposition; video surveillance; HR face image reconstruction; SVD; captured face images; face hallucination; face recognition; image representation; low-resolution face; singular value decomposition; video surveillance; Databases; Face recognition; Image reconstruction; Image resolution; Interpolation; Training; Vectors; Face hallucination; low-resolution (LR) face recognition; low-resolution face recognition; mapping model; singular value decomposition; singular value decomposition (SVD);
fLanguage :
English
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
1051-8215
Type :
jour
DOI :
10.1109/TCSVT.2015.2400772
Filename :
7036137
Link To Document :
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