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 …

Optical flow estimation is a crucial task in computer vision that provides low-level motion
information. Despite recent advances, real-world applications still present significant …

The accuracy of optical flow estimation algorithms has been improving steadily as
evidenced by results on the Middlebury optical flow benchmark. The typical formulation …

There have been two thrusts in the development of optical flow algorithms. One has
emphasized higher accuracy; the other faster implementation. These two thrusts, however …

Abstract Optical Flow Estimation is an essential component for many image processing
techniques. This field of research in computer vision has seen an amazing development in …

Motion analysis is one of the most fundamental and challenging problems in the field of
computer vision, which can be widely applied in many areas, such as autonomous driving …

Optical flow research has made significant progress in recent years and it can now be
computed efficiently and accurately for many images. However, complex motions, large …

Optical flow can be reliably estimated between areas visible in two images, but not in
occlusion areas. If optical flow is needed in the whole image domain, one approach is to use …

Event cameras are bio-inspired sensors that asynchronously report intensity changes in
microsecond resolution. DAVIS can capture high dynamics of a scene and simultaneously …

The quantitative evaluation of optical flow algorithms by Barron et al.(1994) led to significant
advances in performance. The challenges for optical flow algorithms today go beyond the …