Motion compensation for face recognition based on active differential imaging

Authors:
Xuan Zou;Josef Kittler;Kieron Messer
Affiliations:
Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom;Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom;Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom
Venue:
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Year:
2007

Citing 6
Cited 0

Face recognition: the problem of compensating for changes in illumination direction

ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
The robust estimation of multiple motions: parametric and piecewise-smooth flow fields

Computer Vision and Image Understanding
On Combining Classifiers

IEEE Transactions on Pattern Analysis and Machine Intelligence
Face recognition: A literature survey

ACM Computing Surveys (CSUR)
Ambient illumination variation removal by active Near-IR imaging

ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Specific sensors for face recognition

ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Active differential imaging has been proved to be an effective approach to remove ambient illumination for face recognition. In this paper we address the problem caused by motion for a face recognition system based on active differential imaging. A moving face will appear at two different locations in the ambient illumination frame and combined illumination frame and as result artifacts are introduced to the difference face image. An approach based on motion compensation is proposed to deal with this problem. Experiments on moving faces demonstrate that the proposed approach leads to significant improvements in face identification and verification results.