In the past decade, Graphics Processing Units have played an important role in the field of
high-performance computing and they still advance new fields such as IoT, autonomous …

Optical flow estimation is one of the oldest and still most active research domains in
computer vision. In 35 years, many methodological concepts have been introduced and …

Many computer vision tasks can be formulated as labeling problems. The desired solution is
often a spatially smooth labeling where label transitions are aligned with color edges of the …

Most variational optic flow approaches just consist of three constituents: a data term, a
smoothness term and a smoothness weight. In this paper, we present an approach that …

We present a fast optical flow algorithm that can handle large displacement motions. Our
algorithm is inspired by recent successes of local methods in visual correspondence …

Despite their high popularity, common high dynamic range (HDR) methods are still limited in
their practical applicability: They assume that the input images are perfectly aligned, which is …

Optical flow is a critical component of video editing applications, eg for tasks such as object
tracking, segmentation, and selection. In this paper, we propose an optical flow algorithm …

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 …

We present a solution for generating high-quality stereo panoramas at megapixel
resolutions. While previous approaches introduced the basic principles, we show that those …

We investigate a class of efficient numerical algorithms for many partial differential equations
(PDEs) in image analysis. They are applicable to parabolic or elliptic PDEs that have …