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Physics-based Fusion of Multispectral Data for Improved Face Recognition Hong Chang, Andreas Koschan, Besma Abidi, and Mongi Abidi
 

Summary: Physics-based Fusion of Multispectral Data for Improved Face Recognition
Hong Chang, Andreas Koschan, Besma Abidi, and Mongi Abidi
Imaging, Robotics and Intelligent Systems (IRIS) Lab, University of Tennessee, Knoxville
{hchang2, akoschan, besma, abidi}@utk.edu
Abstract
A novel physics-based fusion of multispectral
images within the visual spectra is proposed for the
purpose of improving face recognition under constant
or varying illumination. Spectral images are fused
according to the physics properties of the imaging
system, including illumination, spectral response of the
camera, and spectral reflectance of skin. The fused
image is given as a probe to the recognition software
FaceItŪ
which compares it to a gallery of images. The
identification performance of our physics-based fusion
method is compared to the performance of Principle
Component Analysis and average fusion methods. The
results show that the proposed fusion yields a higher
identification rate. A method of illumination

  

Source: Abidi, Mongi A. - Department of Electrical and Computer Engineering, University of Tennessee

 

Collections: Computer Technologies and Information Sciences