TY - GEN
T1 - Illumination invariant representation for privacy preserving face identification
AU - Moskovich, Boaz
AU - Osadchy, Margarita
PY - 2010
Y1 - 2010
N2 - Most effective face recognition methods store biometric information in the clear. Doing so exposes those systems to the risk of identity theft and violation of privacy. This problem significantly narrows the practical use of face recognition technology. Recent methods for privacy preserving face recognition address face verification task. Most of them are unable to generalize to unseen conditions and require a large number of images of every user for training. We address the problem of face identification, which is more useful in security applications, and propose a binary, illumination invariant representation that can be easily integrated with various efficient cryptographic tools for protection. We propose several privacy preserving applications for our representation and test it on a number of benchmark databases to show its robustness to severe illumination changes, occlusions, and some other appearance variations.
AB - Most effective face recognition methods store biometric information in the clear. Doing so exposes those systems to the risk of identity theft and violation of privacy. This problem significantly narrows the practical use of face recognition technology. Recent methods for privacy preserving face recognition address face verification task. Most of them are unable to generalize to unseen conditions and require a large number of images of every user for training. We address the problem of face identification, which is more useful in security applications, and propose a binary, illumination invariant representation that can be easily integrated with various efficient cryptographic tools for protection. We propose several privacy preserving applications for our representation and test it on a number of benchmark databases to show its robustness to severe illumination changes, occlusions, and some other appearance variations.
UR - http://www.scopus.com/inward/record.url?scp=77956533993&partnerID=8YFLogxK
U2 - 10.1109/CVPRW.2010.5544620
DO - 10.1109/CVPRW.2010.5544620
M3 - Conference contribution
AN - SCOPUS:77956533993
SN - 9781424470297
T3 - 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010
SP - 154
EP - 161
BT - 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010
T2 - 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010
Y2 - 13 June 2010 through 18 June 2010
ER -