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February 2013


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Jyh-Ming Lien <[log in to unmask]>
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Tue, 12 Feb 2013 04:51:57 -0500
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[Apologies for multiple postings]

This is a reminder that Dr. Brendan Klare will
be talking about "Heterogeneous Face Recognition" today at noon.

*    GRAND Seminar


Heterogeneous Face Recognition


Feb. 12, noon, Tuesday, 2013
ENGR 4201


Brendan Klare
Lead Scientist at Noblis


A chief benefit of face recognition technology is the extensive
collection of face photographs available to populate target galleries.
 From sources such as driver's licenses, passports, and mug shots, a
(generally) high quality gallery seed exists for a large percentage of
the developed world's population. While these gallery images are
visible light photographs, many face recognition scenarios exist where
probe images used to be match against such galleries are only
available from some alternate imaging modality. For example, in
environments with adverse illumination conditions (such as nighttime),
face images must be captured in the infrared spectrum. In other cases,
a lack of a face image requires the use of a forensic sketch to depict
a subject. The task of matching face images across image modalities is
called heterogeneous face recognition. In this talk, the problem of
heterogeneous face recognition will be introduced. Different
approaches for performing heterogeneous face recognition will be
introduced, including methods for (i) directly measuring the
similarity between heterogeneous face images, and (ii) using prototype
similarities to performing matching without needing a direct
comparison. The follow research topics will also be discussed: (i) the
effect of demographics (race, gender, and age) on face recognition
performance, (ii) studies on training face recognition system for time
lapse invariance, and (iii) designing facial features and matching
algorithms for matching caricature sketches to photographs.


Brendan Klare is a scientist at Noblis. He received the Ph.D. degree
in Computer Science from Michigan State University in 2012, and
received the B.S. and M.S. degrees in Computer Science and Engineering
from the University of South Florida in 2007 and 2008. From 2001 to
2005 he served as an airborne ranger infantryman in the 75th Ranger
Regiment, U.S. Army. Brendan has authored several papers on the topic
of face recognition, and was the recipient of the Honeywell Best
Student Paper Award at the 2010 IEEE Conference on Biometrics: Theory,
Applications and Systems (BTAS). His other research interests include
pattern recognition and computer vision.

Jyh-Ming Lien
Assistant Professor, George Mason University

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