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PAMI
2008
146views more  PAMI 2008»
13 years 4 months ago
Optimal Randomized RANSAC
A randomized model verification strategy for RANSAC is presented. The proposed method finds, like RANSAC, a solution that is optimal with user-specified probability. The solution i...
Ondrej Chum, Jiri Matas
DAGM
2003
Springer
13 years 10 months ago
Locally Optimized RANSAC
A new enhancement of RANSAC, the locally optimized RANSAC (LO-RANSAC), is introduced. It has been observed that, to find an optimal solution (with a given probability), the numbe...
Ondrej Chum, Jiri Matas, Josef Kittler
BMVC
2002
13 years 7 months ago
Randomized RANSAC with T(d, d) test
Many computer vision algorithms include a robust estimation step where model parameters are computed from a data set containing a significant proportion of outliers. The RANSAC al...
Jiri Matas, Ondrej Chum
ICCV
2009
IEEE
13 years 2 months ago
Consensus set maximization with guaranteed global optimality for robust geometry estimation
Finding the largest consensus set is one of the key ideas used by the original RANSAC for removing outliers in robust-estimation. However, because of its random and non-determinis...
Hongdong Li
ECCV
2008
Springer
14 years 6 months ago
A Comparative Analysis of RANSAC Techniques Leading to Adaptive Real-Time Random Sample Consensus
The Random Sample Consensus (RANSAC) algorithm is a popular tool for robust estimation problems in computer vision, primarily due to its ability to tolerate a tremendous fraction o...
Rahul Raguram, Jan-Michael Frahm, Marc Pollefeys