251 search results - page 1 / 51 » Adaptive-Scale Robust Estimator Using Distribution Model Fit... |
ACCV
2009
Springer
13 years 5 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...
ECCV
2004
Springer
13 years 9 months ago
2004
Springer
Computer vision tasks often require the robust fit of a model to some data. In a robust fit, two major steps should be taken: i) robustly estimate the parameters of a model, and ii...
ICRA
2009
IEEE
13 years 2 months ago
2009
IEEE
Although RANSAC is the most widely used robust estimator in computer vision, it has certain limitations making it ineffective in some situations, such as the motion estimation prob...
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...
PAMI
2012
11 years 6 months ago
2012
Abstract—We propose a robust fitting framework, called Adaptive Kernel-Scale Weighted Hypotheses (AKSWH), to segment multiplestructure data even in the presence of a large number...