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IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 12, NO. 5, MAY 2003 597 Eigenface-Domain Super-Resolution
 

Summary: IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 12, NO. 5, MAY 2003 597
Eigenface-Domain Super-Resolution
for Face Recognition
Bahadir K. Gunturk, Student Member, IEEE, Aziz U. Batur, Student Member, IEEE,
Yucel Altunbasak, Senior Member, IEEE, Monson H. Hayes, III, Fellow, IEEE, and Russell M. Mersereau, Fellow, IEEE
Abstract--Face images that are captured by surveillance
cameras usually have a very low resolution, which significantly
limits the performance of face recognition systems. In the past,
super-resolution techniques have been proposed to increase the
resolution by combining information from multiple images. These
techniques use super-resolution as a preprocessing step to obtain
a high-resolution image that is later passed to a face recognition
system. Considering that most state-of-the-art face recognition
systems use an initial dimensionality reduction method, we
propose to transfer the super-resolution reconstruction from pixel
domain to a lower dimensional face space. Such an approach
has the advantage of a significant decrease in the computational
complexity of the super-resolution reconstruction. The recon-
struction algorithm no longer tries to obtain a visually improved
high-quality image, but instead constructs the information re-

  

Source: Altunbasak, Yucel - School of Electrical and Computer Engineering, Georgia Institute of Technology

 

Collections: Engineering