TY - GEN
T1 - Learning Mappings for synthesis from near infrared to light images
AU - Chen, Jie
AU - Yi, Dong
AU - Yang, Jimei
AU - Zhao, Guoying
AU - Li, Stan Z.
AU - Pietikäinen, Mattim
PY - 2009
Y1 - 2009
N2 - This paper deals with a new problem in face recognition research, in which the enrollment and query face samples are captured under different lighting conditions. in our case, the enrollment samples are visual light (VIS) images, whereas the query samples are taken under near infrared (NIR) condition. It is very difficult to directly match the face samples captured under these two lighting conditions due to their different visual appearances. in this paper, we propose a novel method for synthesizing VIS images from NIR images based on learning the mappings between images of different spectra (i.e., NIR and VIS). in our approach, we reduce the inter-spectral differences significantly, thus allowing effective matching between faces taken under different imaging conditions. Face recognition experiments clearly show the efficacy of the proposed approach.
AB - This paper deals with a new problem in face recognition research, in which the enrollment and query face samples are captured under different lighting conditions. in our case, the enrollment samples are visual light (VIS) images, whereas the query samples are taken under near infrared (NIR) condition. It is very difficult to directly match the face samples captured under these two lighting conditions due to their different visual appearances. in this paper, we propose a novel method for synthesizing VIS images from NIR images based on learning the mappings between images of different spectra (i.e., NIR and VIS). in our approach, we reduce the inter-spectral differences significantly, thus allowing effective matching between faces taken under different imaging conditions. Face recognition experiments clearly show the efficacy of the proposed approach.
UR - http://www.scopus.com/inward/record.url?scp=70450170631&partnerID=8YFLogxK
U2 - 10.1109/CVPRW.2009.5206832
DO - 10.1109/CVPRW.2009.5206832
M3 - Conference contribution
AN - SCOPUS:70450170631
SN - 9781424439935
T3 - 2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009
SP - 156
EP - 163
BT - 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009
PB - IEEE Computer Society
T2 - 2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009
Y2 - 20 June 2009 through 25 June 2009
ER -