4 papers
CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus
Florian Kluger, Eric Brachmann, Hanno Ackermann +3
We present a robust estimator for fitting multiple parametric models of the same form to noisy measurements. Applications include finding multiple vanishing points in man-made scen…
Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task
Aritra Bhowmik, Stefan Gumhold, Carsten Rother +1
We address a core problem of computer vision: Detection and description of 2D feature points for image matching. For a long time, hand-crafted designs, like the seminal SIFT algori…
Expert Sample Consensus Applied to Camera Re-Localization
Eric Brachmann, Carsten Rother
Fitting model parameters to a set of noisy data points is a common problem in computer vision. In this work, we fit the 6D camera pose to a set of noisy correspondences between the…
Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses
Eric Brachmann, Carsten Rother
We present Neural-Guided RANSAC (NG-RANSAC), an extension to the classic RANSAC algorithm from robust optimization. NG-RANSAC uses prior information to improve model hypothesis sea…