Active lighting for video conferencing
IEEE Transactions on Circuits and Systems for Video Technology
Adaptive context-aware filter fusion for face recognition on bad illumination
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Driving 3D morphable models using shading cues
Pattern Recognition
Face relighting based on multi-spectral quotient image and illumination tensorfaces
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Perception-Based lighting adjustment of image sequences
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
A context model for ubiquitous computing applications
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
A study on the effective approach to illumination-invariant face recognition based on a single image
CCBR'12 Proceedings of the 7th Chinese conference on Biometric Recognition
Computer Vision and Image Understanding
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We present a technique to generate an illumination subspace for arbitrary 3D faces based on the statistics of measured illuminations under variable lighting conditions from many subjects. A bilinear model based on the higher-order singular value decomposition is used to create a compact illumination subspace given arbitrary shape parameters from a parametric 3D face model. Using a fitting procedure based on minimizing the distance of the input image to the dynamically changing illumination subspace, we reconstruct a shape-specific illumination subspace from a single photograph. We use the reconstructed illumination subspace in various face recognition experiments with variable lighting conditions and obtain accuracies which are very competitive with previous methods that require specific training sessions or multiple images of the subject.