7 citations · 11 across the 3 of their papers we have counts for
5 papers
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-…
Graph-Cut RANSAC
Daniel Barath, Jiri Matas
A novel method for robust estimation, called Graph-Cut RANSAC, GC-RANSAC in short, is introduced. To separate inliers and outliers, it runs the graph-cut algorithm in the local opt…
Multi-Class Model Fitting by Energy Minimization and Mode-Seeking
Daniel Barath, Jiri Matas
We propose a general formulation, called Multi-X, for multi-class multi-instance model fitting - the problem of interpreting the input data as a mixture of noisy observations origi…