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JISE
2007
74views more  JISE 2007»
13 years 5 months ago
Robust Fundamental Matrix Estimation with Accurate Outlier Detection
Jing-Fu Huang, Shang-Hong Lai, Chia-Ming Cheng
DICTA
2003
13 years 6 months ago
A Robust Method for Estimating the Fundamental Matrix
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...
C. L. Feng, Y. S. Hung
AMCS
2008
146views Mathematics» more  AMCS 2008»
13 years 5 months ago
Fault Detection and Isolation with Robust Principal Component Analysis
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...
Yvon Tharrault, Gilles Mourot, José Ragot, ...
ACCV
2009
Springer
13 years 12 months ago
Better Correspondence by Registration
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...
Shufei Fan, Rupert Brooks, Frank P. Ferrie
KDD
2002
ACM
113views Data Mining» more  KDD 2002»
14 years 5 months ago
Scalable robust covariance and correlation estimates for data mining
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...
Fatemah A. Alqallaf, Kjell P. Konis, R. Douglas Ma...