SMA
2008
ACM
13 years 4 months ago
2008
ACM
Robust Statistics considers the quality of statistical decisions in the presence of deviations from the ideal model, where deviations are modelled by neighborhoods of a certain siz...
VISAPP
2007
13 years 5 months ago
2007
Accurate noise models are important to perform reliable robust image analysis. Indeed, many vision problems can be seen as parameter estimation problems. In this paper, two noise m...
ICARCV
2002
IEEE
13 years 9 months ago
2002
IEEE
In computer vision tasks, it frequently happens that gross noise occupies the absolute majority of the data. Most robust estimators can tolerate no more than 50% gross errors. In ...
ICCV
2003
IEEE
13 years 10 months ago
2003
IEEE
Robust estimators, such as Least Median of Squared (LMedS) Residuals, M-estimators, the Least Trimmed Squares (LTS) etc., have been employed to estimate optical flow from image se...
WACV
2007
IEEE
13 years 10 months ago
2007
IEEE
We propose a new robust estimator for camera pose estimation based on a recently developed nonlinear mean shift algorithm. This allows us to treat pose estimation as a clustering ...
ECCV
2004
Springer
14 years 5 months ago
2004
Springer
Low-level image processing algorithms generally provide noisy features that are far from being Gaussian. Medium-level tasks such as object detection must therefore be robust to out...
ICIP
2007
IEEE
14 years 5 months ago
2007
IEEE
In this paper we propose a new approach of the two-image alignment problem based on a functional representation of images. This allows us to derive a one-to-several correspondence,...
CVPR
1996
IEEE
14 years 6 months ago
1996
IEEE
Despite many successful applications of robust statistics, they have yet to be completely adapted to many computer vision problems. Range reconstruction, particularly in unstructu...