15 citations · 38 across the 5 of their papers we have counts for
6 papers
Image Guided Depth Upsampling using Anisotropic Total Generalized Variation
David Ferstl, Christian Reinbacher, Rene Ranftl +2
In this work we present a novel method for the challenging problem of depth image upsampling. Modern depth cameras such as Kinect or Time of Flight cameras deliver dense, high qual…
Real-Time Panoramic Tracking for Event Cameras
Christian Reinbacher, Gottfried Munda, Thomas Pock
Event cameras are a paradigm shift in camera technology. Instead of full frames, the sensor captures a sparse set of events caused by intensity changes. Since only the changes are…
End-to-End Training of Hybrid CNN-CRF Models for Stereo
Patrick Knöbelreiter, Christian Reinbacher, Alexander Shekhovtsov +1
We propose a novel and principled hybrid CNN+CRF model for stereo estimation. Our model allows to exploit the advantages of both, convolutional neural networks (CNNs) and condition…
PetroSurf3D - A Dataset for high-resolution 3D Surface Segmentation
Georg Poier, Markus Seidl, Matthias Zeppelzauer +5
The development of powerful 3D scanning hardware and reconstruction algorithms has strongly promoted the generation of 3D surface reconstructions in different domains. An area of s…
Real-Time Intensity-Image Reconstruction for Event Cameras Using Manifold Regularisation
Christian Reinbacher, Gottfried Graber, Thomas Pock
Event cameras or neuromorphic cameras mimic the human perception system as they measure the per-pixel intensity change rather than the actual intensity level. In contrast to tradit…
Solving Dense Image Matching in Real-Time using Discrete-Continuous Optimization
Alexander Shekhovtsov, Christian Reinbacher, Gottfried Graber +1
Dense image matching is a fundamental low-level problem in Computer Vision, which has received tremendous attention from both discrete and continuous optimization communities. The…