Event cameras sense per-pixel intensity changes and produce asynchronous event streams
with high dynamic range and less motion blur, showing advantages over the conventional …

Particle streak velocimetry (PSV) is a Lagrangian velocity measurement method based on
streak imaging of moving particles and is regarded as the origin of particle image …

Event cameras are novel sensors that perceive the per-pixel intensity changes and output
asynchronous event streams with high dynamic range and less motion blur. It has been …

Abstract 3D hand pose estimation from monocular videos is a long-standing and
challenging problem, which is now seeing a strong upturn. In this work, we address it for the …

Schlieren imaging is an optical technique to observe the flow of transparent media, such as
air or water, without any particle seeding. However, conventional frame-based techniques …

Event-based cameras are popular for tracking fast-moving objects due to their high temporal
resolution, low latency, and high dynamic range. In this article, we propose a novel algorithm …

The field of fluid simulation is develo** rapidly, and data-driven methods provide many
frameworks and techniques for fluid simulation. This paper presents a survey of data-driven …

Contrary to conventional frame-based imaging, event-based vision or dynamic vision
sensing asynchronously records binary signals of intensity changes for given pixels with …

Abstract The Event‐based Vision Sensor (EVS) is a bio‐inspired sensor that captures
detailed motions of objects, aiming to become the 'eyes' of machines like self‐driving cars …

We describe the implementation of a 3d Lagrangian particle tracking (LPT) system based on
event-based vision (EBV) and demonstrate its application for the near-wall characterization …