Event cameras are bio-inspired vision sensors which mimic retinas to measure per-pixel
intensity change rather than outputting an actual intensity image. This proposed paradigm …

Light field cameras capture the 3D information in a scene with a single exposure. This
special feature makes light field cameras very appealing for a variety of applications: from …

This paper deals with dense optical flow estimation from the perspective of the trade-off
between quality of the estimated flow and computational cost which is required by real-world …

A directed multigraph is said to be d-regular if the indegree and outdegree of every vertex is
exactly d. By Hall's theorem, one can represent such a multigraph as a combination of at …

Single image super-resolution is an important task in the field of computer vision and finds
many practical applications. Current state-of-the-art methods typically rely on machine …

In this paper we present a novel method to increase the spatial resolution of depth images.
We combine a deep fully convolutional network with a non-local variational method in a …

In this paper we propose a new type of matching term for multi-view stereo reconstruction.
Our model is based on the assumption, that if one warps the images of the various views to a …

In this paper we propose a novel method for depth image superresolution which combines
recent advances in example based upsampling with variational superresolution based on a …

Magnetic resonance images of the tongue have been used in both clinical studies and
scientific research to reveal tongue structure. In order to extract different features of the …

The aim of this paper is to derive and analyze a variational model for the joint estimation of
motion and reconstruction of image sequences, which is based on a time-continuous …