7 citations · 18 across the 11 of their papers we have counts for
4 papers · 1 filter
MAGSAC++, a fast, reliable and accurate robust estimator
Daniel Barath, Jana Noskova, Maksym Ivashechkin +1
A new method for robust estimation, MAGSAC++, is proposed. It introduces a new model quality (scoring) function that does not require the inlier-outlier decision, and a novel margi…
Progressive NAPSAC: sampling from gradually growing neighborhoods
Daniel Barath, Maksym Ivashechkin, Jiri Matas
We propose Progressive NAPSAC, P-NAPSAC in short, which merges the advantages of local and global sampling by drawing samples from gradually growing neighborhoods. Exploiting the f…
Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm
Daniel Barath, Jiri Matas
The Progressive-X algorithm, Prog-X in short, is proposed for geometric multi-model fitting. The method interleaves sampling and consolidation of the current data interpretation vi…
Optimal Multi-view Correction of Local Affine Frames
Ivan Eichhardt, Daniel Barath
The technique requires the epipolar geometry to be pre-estimated between each image pair. It exploits the constraints which the camera movement implies, in order to apply a closed-…