33 search results - page 1 / 7 » Robust Fundamental Matrix Estimation with Accurate Outlier D... |
82
Voted
JISE
2007
15 years 6 days ago
2007
101
Voted
DICTA
2003
15 years 1 months ago
2003
In this paper, we propose a robust method to estimate the fundamental matrix in the presence of outliers. The new method uses random minimum subsets as a search engine to find inli...
AMCS
2008
15 years 14 days ago
2008
Principal component analysis (PCA) is a powerful fault detection and isolation method. However, the classical PCA which is based on the estimation of the sample mean and covariance...
95
Voted
ACCV
2009
Springer
15 years 7 months ago
2009
Springer
Accurate image correspondence is crucial for estimating multiple-view geometry. In this paper, we present a registration-based method for improving accuracy of the image correspond...
KDD
2002
ACM
16 years 22 days ago
2002
ACM
Covariance and correlation estimates have important applications in data mining. In the presence of outliers, classical estimates of covariance and correlation matrices are not re...