9 search results - page 1 / 2 » Exploiting uncertainty in random sample consensus |
ICCV
2009
IEEE
13 years 2 months ago
2009
IEEE
In this work, we present a technique for robust estimation, which by explicitly incorporating the inherent uncertainty of the estimation procedure, results in a more efficient rob...
CVPR
2009
IEEE
14 years 11 months ago
2009
IEEE
We address the problem of parameter estimation in presence
of both uncertainty and outlier noise. This is a common
occurrence in computer vision: feature localization
is perform...
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
A new robust matching method is proposed. The Progressive Sample Consensus (PROSAC) algorithm exploits the linear ordering defined on the set of correspondences by a similarity fu...
ICRA
2010
IEEE
13 years 2 months ago
2010
IEEE
The iterative closest points (ICP) algorithm is widely used for ego-motion estimation in robotics, but subject to bias in the presence of outliers. We propose a random sample conse...
ICCV
2005
IEEE
13 years 9 months ago
2005
IEEE
We propose an algorithm to perform causal inference of the state of a dynamical model when the measurements are corrupted by outliers. While the optimal (maximumlikelihood) soluti...