We consider the problem of determining whether two images come from different objects or the same object in the same pose, but under different illumination conditions. We show tha...
3-D tracking of free-moving objects has to deal with brightness variations pronounced by the shape of the tracked surface. Pixel-based tracking techniques, though versatile, are p...
We propose a new approach for face recognition under arbitrary illumination conditions, which requires only one training image per subject (if there is no pose variation) and no 3...
Image variability due to changes in pose and illumination can seriously impair object recognition. This paper presents appearance-based methods which, unlike previous appearance-b...
Athinodoros S. Georghiades, Peter N. Belhumeur, Da...
Illumination inconsistencies cause serious problems for classical computer vision applications such as tracking and stereo matching. We present a new approach to model illuminatio...