Title :
A super-resolution based method to synthesize visual images from near infrared
Author :
Shao, Ming ; Wang, Yunhong ; Wang, Yiding
Author_Institution :
Sch. of Comput. Sci. & Eng., Beihang Univ., Beijing, China
Abstract :
In this paper, we propose a new method to enhance the quality of near infrared face image using tensorface, super-resolution and image fusion. Given a single model of near infrared face image which is not suitable for human to recognize or verify and its low-resolution sample, we can synthesize an image under visible light environment by building multiple factors training tensors and super-resolving its high-resolution visible light reconstructions across different modalities. The training tensor space consists of near infrared and visible light face images pairs of different people. Fusion is performed between the reconstructions and the original near infrared images. Experiments show promising results of synthesized visible light face images.
Keywords :
face recognition; image fusion; high-resolution visible light reconstructions; image fusion; multiple factors training tensors; near infrared face image; super-resolution; tensorface; visual images; Face detection; Face recognition; Humans; Image analysis; Image fusion; Image recognition; Image resolution; Infrared imaging; Infrared surveillance; Tensile stress; Near infrared (NIR); image fusion; super-resolution; tensor; visual images (VIS);
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2009.5414110