TitleComplexion as a Soft Biometric in Human-Robot Interaction
Publication TypeConference Proceedings
Year of Conference2013
AuthorsLawson, W, J Trafton, G, Martinson, E
Conference NameIEEE Sixth International Conference on Biometrics: Theory, Applications, and Systems
Date Published09/2013
PublisherIEEE Press
Abstract

Complexion plays a remarkably important role in recognition.
Experiments with human subjects have shown that
complexion provides as much distinctiveness as other wellknown
features such as the shape of the face. From the
perspective an autonomous robot, changes in lighting (e.g.,
intensity, orientation) and camera parameters (e.g., white
balance) can make capturing complexion challenging. In
this paper, we evaluate complexion as a soft biometric using
color (histograms) and texture (local binary patterns).
We train a linear SVM to distinguish between the individual
and impostors. We demonstrate the performance of this approach
on a database of over 200 individuals collected to
study biometrics in human-robot interaction. In our experiment,
we identify 9 individuals that interact with the robot
on a regular basis, rejecting all others as unknown.

DOI10.1109/BTAS.2013.6712703
Full Text
pdf: 
http://www.nrl.navy.mil/itd/aic/sites/www.nrl.navy.mil.itd.aic/files/pdfs/complexion-soft-biometric.pdf
NRL Publication Release Number: 
13-1231-2149
pub_tags: 
HRI
perception
key_pub_tags: