38 citations · 104 across the 21 of their papers we have counts for
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cs.CV2019
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…
cs.CV2019
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…
cs.CV2019
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…