297 search results - page 11 / 60 » Adaptive Importance Sampling for Estimation in Structured Do... |
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
This paper introduces a novel stochastic approach to image denoising using an adaptive Monte Carlo scheme. Random samples are generated from the image field using a spatially-adap...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
In order to overcome several limitations of structured light 3D acquisition methods, the colors, intensities, and shapes of the projected patterns are adapted to the scene. Based ...
SCALESPACE
2007
Springer
14 years 1 months ago
2007
Springer
This paper proposes an extension of compressed sensing that allows to express the sparsity prior in a dictionary of bases. This enables the use of the random sampling strategy of c...
ACCV
2009
Springer
13 years 8 months ago
2009
Springer
We propose a new robust estimator for parameter estimation in highly noisy data with multiple structures and without prior information on the noise scale of inliers. This is a diag...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
Structure and motion estimation from long image sequences is a an important and difficult problem in computer vision. We propose a novel approach based on nonlinear and adaptive ...