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相关论文: Diffeomorphic Particle Image Velocimetry

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Particle Image Velocimetry (PIV) is the most commonly used optical technique for measuring 2D velocity fields. However, improving the spatial resolution of instantaneous velocity fields and having access to the velocity field in real time…

流体动力学 · 物理学 2024-07-04 Juan Pimienta , Jean-Luc Aider

In Microscopic Particle Image Velocimetry ($\mu$PIV), velocity fields in microchannels are sampled over finite volumes within which the velocity fields themselves may vary significantly. In the past, this has limited measurements often to…

介观与纳米尺度物理 · 物理学 2014-07-31 P. W. Bryant , R. F. Neumann , M. J. B. Moura , M. Steiner , M. S. Carvalho , C. Feger

Particle Image Velocimetry (PIV) is fundamental to fluid dynamics, yet deep learning applications face significant hurdles. A critical gap exists: the lack of comprehensive evaluation of how diverse optical flow models perform specifically…

计算机视觉与模式识别 · 计算机科学 2025-07-11 Zicheng Lin , Xiaoqiang Li , Yichao Wang , Chuang Zhu

Particle Image Velocimetry (PIV) typically relies on cross-correlation,which makes it difficult to obtain instantaneous velocity fields that are both spatially dense and available in real time at high acquisition rates. Optical Flow…

流体动力学 · 物理学 2026-05-22 Juan Pimienta , Jean-Luc Aider

This article describes two independent developments aimed at improving the Particle Tracking Method for measurements of flow or particle velocities. First, a stereoscopic multicamera calibration method that does not require any optical…

This article presents a flow visualization method for wind-waves, as well as a technique to measure flow field on two sides of interface by stereoscopic particle image velocimetry (PIV) simultaneously. The new flow visualization method…

流体动力学 · 物理学 2021-04-23 Junwei Chen

Deep learning-based optical flow (DLOF) extracts features in adjacent video frames with deep convolutional neural networks. It uses those features to estimate the inter-frame motions of objects at the pixel level. In this article, we…

This study explores the potential of neuromorphic Event-Based Vision (EBV) cameras for data-efficient representation of low-order model coordinates in turbulent flows. Unlike conventional imaging systems, EBV cameras asynchronously capture…

流体动力学 · 物理学 2025-02-26 Luca Franceschelli , Christian E. Willert , Marco Raiola , Stefano Discetti

Simultaneous Particle Image Velocimetry (PIV) measurements of stratified turbulent air/water flow in a horizontal pipe have been performed using water droplets as tracers in the gas-phase. The use of water droplets as tracers ensures that…

流体动力学 · 物理学 2017-01-03 A. A. Ayati , J. Kolaas , A. Jensen , G. W. Johnson

We describe a technique of image analysis providing the time resolved shape of a water surface simultaneously with the three-component velocity field on this surface. The method relies on a combination of stereoscopic surface mapping and…

流体动力学 · 物理学 2019-02-18 Quentin Aubourg , Joel Sommeria , Samuel Viboud , Nicolas Mordant

The formation of twin images in digital inline holography (DIH) prevents the placement of the focal plane in the center of a sample volume for DIH-based particle tracking velocimetry (DIH-PTV) with a single camera. As a result, it is…

流体动力学 · 物理学 2020-04-22 Zhou Zhou , Santosh Kumar Sankar , Kevin Mallery , Wensheng Jiang , Jiarong Hong

Altered hemodynamics play a key role in cerebrovascular diseases such as aneurysms and stenosis. However, in vivo imaging lacks the spatial resolution required to resolve flow dynamics in small vessels. This study presents an experimental…

流体动力学 · 物理学 2026-05-25 Job van Essen , Ahmed Sharaf , Denzel Hopman , Selene Pirola , Paola Fanzio

Particle Image Velocimetry (PIV) has become increasingly popular to study structures in turbulent flows. PIV allows direct extraction and investigation of spatial structures in the given flow field. Increasing temporal resolution of PIV…

流体动力学 · 物理学 2021-12-10 Tom T. B. Wester , André Fuchs , Joachim Peinke , Gerd Gülker

Particle-based velocimetry (PV) is a widely used technique for non-invasive flow field measurements in fluid mechanics. Existing PV measurements typically rely on a single type of particle recording. With advancements in deep learning and…

流体动力学 · 物理学 2025-07-10 Fan Wu , Xiang Feng , Aoyu Zhang , Yong Lee

In this paper, we overview, evaluate, and demonstrate the sparse processing particle image velocimetry (SPPIV) as a real-time flow field estimation method using the particle image velocimetry (PIV), whereas SPPIV was previously proposed…

信号处理 · 电气工程与系统科学 2022-08-31 Naoki Kanda , Chihaya Abe , Shintaro Goto , Keigo Yamada , Kumi Nakai , Yuji Saito , Keisuke Asai , Taku Nonomura

The flow patterns created by a coherent horizontal liquid jet impinging on a vertical wall atmoderate flow rates (jet flowrates 0.5-4.0 L min-1, jet velocities 2.6-21 m s-1) are studied withwater on glass, polypropylene and…

流体动力学 · 物理学 2024-07-23 W. Aouad , Julien R. Landel , S. B. Dalziel , J. F. Davidson , D. I. Wilson

The performance of a wavelet-based optical flow velocimetry (wOFV) algorithm to extract high accuracy and high resolution velocity fields from particle images in wall-bounded turbulent flows is assessed. wOFV is first evaluated using…

流体动力学 · 物理学 2023-10-09 Alexander Nicolas , Florian Zentgraf , Mark Linne , Andreas Dreizler , Brian Peterson

We present a new uncertainty estimation method for Particle Image Velocimetry (PIV), that uses the correlation plane as a model for the probability density function (PDF) of displacements and calculates the second order moment of the…

流体动力学 · 物理学 2018-05-01 Sayantan Bhattacharya , John J. Charonko , Pavlos P. Vlachos

Diffeomorphic matching (only one of several names for this technique) is a technique for non-rigid registration of curves and surfaces in which the curve or surface is embedded in the flow of a time-series of vector fields. One seeks the…

数值分析 · 数学 2009-11-13 C. J. Cotter

We present a novel architecture for accelerating PIV calculations. An optical flow hardware accelerator does the brunt of the work, with cross-correlation only providing quick corrections. The result is RapidPIV: a free-to-download software…

流体动力学 · 物理学 2025-04-28 Scott A. Bollt , Samuel H. Foxman , Morteza Gharib