CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
Given any two images taken under different illumination conditions, there always exist a physically realizable object which is consistent with both the images even if the lighting...
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
A major shortcoming of discriminative recognition and detection methods is their noise sensitivity, both during training and recognition. This may lead to very sensitive and britt...
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
Histograms of orientations and the statistics derived from them have proven to be effective image representations for various recognition tasks. In this work we attempt to improve...
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
Class syntax can be used to 1) model temporal or locational evolvement of class labels of feature observation sequences, 2) correct classification errors of static classifiers if ...
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
Automatic evaluation of visual tracking algorithms in the absence of ground truth is a very challenging and important problem. In the context of online appearance modeling, there ...
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
We propose a new multiple instance learning (MIL) algorithm to learn image categories. Unlike existing MIL algorithms, in which the individual instances in a bag are assumed to be...
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
Texture flow estimation is a valuable step in a variety of vision related tasks, including texture analysis, image segmentation, shape-from-texture and texture remapping. This pap...
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
Representations for interactive photorealistic visualization of scenes range from compact 2D panoramas to dataintensive 4D light fields. In this paper, we propose a technique for ...
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
We introduce an approach to accurately detect and segment partially occluded objects in various viewpoints and scales. Our main contribution is a novel framework for combining obj...