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ECCV
2000
Springer
16 years 8 months ago
Non-linear Bayesian Image Modelling
In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces', of natural images. Examples include principal component anal...
Christopher M. Bishop, John M. Winn
CVPR
2010
IEEE
15 years 7 months ago
Deconvolutional networks
Building robust low and mid-level image representations, beyond edge primitives, is a long-standing goal in vision. Many existing feature detectors spatially pool edge information...
Matthew D. Zeiler, Dilip Krishnan, Graham W. Taylo...
196
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BMVC
2010
15 years 4 months ago
Background Modelling on Tensor Field for Foreground Segmentation
The paper proposes a new method to perform foreground detection by means of background modeling using the tensor concept. Sometimes, statistical modelling directly on image values...
Rui Caseiro, Jorge Batista, Pedro Martins
CVPR
2012
IEEE
13 years 9 months ago
Spatial bias in multi-atlas based segmentation
Multi-atlas segmentation has been widely applied in medical image analysis. With deformable registration, this technique realizes label transfer from pre-labeled atlases to unknow...
Hongzhi Wang, Paul A. Yushkevich
ICCV
2003
IEEE
16 years 8 months ago
Adaptive Dynamic Range Imaging: Optical Control of Pixel Exposures Over Space and Time
This paper presents a new approach to imaging that significantly enhances the dynamic range of a camera. The key idea is to adapt the exposure of each pixel on the image detector,...
Shree K. Nayar, Vlad Branzoi