2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2019
DistanceNet: Estimating Traveled Distance from Monocular Images using a Recurrent Convolutional Neural Network
Robin Kreuzig, Matthias Ochs, Rudolf Mester
Classical monocular vSLAM/VO methods suffer from the scale ambiguity problem. Hybrid approaches solve this problem by adding deep learning methods, for example by using depth maps…
cs.CV2017★ 2 cited
Joint Epipolar Tracking (JET): Simultaneous optimization of epipolar geometry and feature correspondences
Henry Bradler, Matthias Ochs, Rudolf Mester
Traditionally, pose estimation is considered as a two step problem. First, feature correspondences are determined by direct comparison of image patches, or by associating feature d…
cs.CV2017
Learning Rank Reduced Interpolation with Principal Component Analysis
Matthias Ochs, Henry Bradler, Rudolf Mester
In computer vision most iterative optimization algorithms, both sparse and dense, rely on a coarse and reliable dense initialization to bootstrap their optimization procedure. For…