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International Journal of Computer Vision 71(2), 215233, 2007 c 2006 Springer Science + Business Media, LLC. Manufactured in the United States.
 

Summary: International Journal of Computer Vision 71(2), 215233, 2007
c 2006 Springer Science + Business Media, LLC. Manufactured in the United States.
DOI: 10.1007/s11263-006-6655-0
Multiscale Fusion of Visible and Thermal IR Images for
Illumination-Invariant Face Recognition
SEONG G. KONG
Imaging, Robotics, and Intelligent Systems Laboratory, Department of Electrical and Computer Engineering, The
University of Tennessee, Knoxville, TN 37996-2100
JINGU HEO
Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213-3890
FAYSAL BOUGHORBEL, YUE ZHENG, BESMA R. ABIDI, ANDREAS KOSCHAN, MINGZHONG YI,
AND MONGI A. ABIDI
Imaging, Robotics, and Intelligent Systems Laboratory, Department of Electrical and Computer Engineering, The
University of Tennessee, Knoxville, TN 37996-2100
Received March 18, 2005; Revised October 24, 2005; Accepted December 12, 2005
First online version published in June, 2006
Abstract. This paper describes a new software-based registration and fusion of visible and thermal infrared
(IR) image data for face recognition in challenging operating environments that involve illumination variations. The
combined use of visible and thermal IR imaging sensors offers a viable means for improving the performance of face
recognition techniques based on a single imaging modality. Despite successes in indoor access control applications,

  

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

 

Collections: Computer Technologies and Information Sciences