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Three-dimensional particle tracking is an essential tool in studying dynamics under the microscope, namely, fluid dynamics in microfluidic devices, bacteria taxis, cellular trafficking. The 3d position can be determined using 2d imaging…

计算机视觉与模式识别 · 计算机科学 2015-09-08 Eldad Afik

We propose and validate a novel experimental technique to measure two-point statistics of turbulent flows. It consists in spreading rigid fibers in the flow and tracking their position and orientation in time and therefore been named…

Understanding turbulence in a stratified environment requires a detailed picture of both the velocity field and the density field. Experimentally, this represents a significant measurement challenge, especially when full three-dimensional…

流体动力学 · 物理学 2019-05-22 J. L. Partridge , A. Lefauve , Stuart B. Dalziel

Particle tracking velocimetry (PTV) is widely used to measure time-resolved, three-dimensional velocity and pressure fields in fluid dynamics research. Inaccurate localization and tracking of particles is a key source of error in PTV,…

流体动力学 · 物理学 2026-03-31 Ke Zhou , Jiaqi Li , Jiarong Hong , Samuel J. Grauer

Doppler tomography is a method to compute the emissivity distribution within the co-rotating frames of binary stars from observations of their emission line profiles at multiple orbital phases. A key assumption of the method as it is…

太阳与恒星天体物理 · 物理学 2021-12-08 T. R. Marsh

We propose a method to obtain superresolution of turbulent statistics for three-dimensional ensemble particle tracking velocimetry (EPTV). The method is ''meshless'' because it does not require the definition of a grid for computing…

流体动力学 · 物理学 2025-02-10 Manuel Ratz , Miguel A. Mendez

In the past decade, advances in electronics technology have made larger imaging sensors available to the experimental fluid mechanics community. These advancements have enabled the measurement of 2-component 2-dimensional (2C-2D) velocity…

We present validation of benchmark experimental data for computational fluid dynamics (CFD) analyses of medical devices using advanced Particle Image Velocimetry (PIV) processing and post-processing techniques. This work is an extension of…

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

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

Particle Image Velocimetry (PIV) is an imaging technique in experimental fluid dynamics that quantifies flow fields around bluff bodies by analyzing the displacement of neutrally buoyant tracer particles immersed in the fluid. Traditional…

流体动力学 · 物理学 2025-12-15 Alan Bonomi , Francesco Banelli , Antonio Terpin

An important tool for experimental fluids mechanics research is Particle Image Velocimetry (PIV). Several robust methodologies have been proposed to perform the estimation of velocity field from the images, however, alternative methods are…

计算机视觉与模式识别 · 计算机科学 2025-02-03 Efraín Magaña , Francisco Sahli Costabal , Wernher Brevis

An innovative method based on the traversal of rays, originating from detected particles, through a three-dimensional grid of voxels is presented. The methodology has as main advantage that the outcome of the method is independent of the…

流体动力学 · 物理学 2020-08-07 Mickael Bourgoin , Sander Huisman

Online reconstruction based on RGB-D sequences has thus far been restrained to relatively slow camera motions (<1m/s). Under very fast camera motion (e.g., 3m/s), the reconstruction can easily crumble even for the state-of-the-art methods.…

计算机视觉与模式识别 · 计算机科学 2021-05-13 Jiazhao Zhang , Chenyang Zhu , Lintao Zheng , Kai Xu

Direct estimation of Lagrangian turbulence statistics is essential for the proper modeling of dispersion and transport in highly obstructed canopy flows. However, Lagrangian flow measurements demand very high rates of data acquisition,…

流体动力学 · 物理学 2019-05-16 Ron Shnapp , Erez Shapira , David Peri , Yardena Bohbot-Raviv , Eyal Fattal , Alex Liberzon

The study of moving particles (e.g. molecules, virus, vesicles, organelles, or whole cells) is crucial to decipher a plethora of cellular mechanisms within physiological and pathological conditions. Powerful live-imaging approaches enable…

数值分析 · 数学 2023-11-13 Eloina Corradi , Maurizio Tavelli , Marie-Laure Baudet , Walter Boscheri

Diffusion and flow matching models have achieved remarkable success in text-to-image generation. However, these models typically rely on the predetermined denoising schedules for all prompts. The multi-step reverse diffusion process can be…

计算机视觉与模式识别 · 计算机科学 2025-03-06 Zilyu Ye , Zhiyang Chen , Tiancheng Li , Zemin Huang , Weijian Luo , Guo-Jun Qi

The increasing use of microfluidics in industrial, biomedical, and clinical applications requires a more and more precise control of the microfluidic flows and suspended particles or cells. This leads to higher demands in three-dimensional…

流体动力学 · 物理学 2020-11-10 Massimiliano Rossi , Rune Barnkob

A novel method to improve the accuracy of pressure field estimation from time-resolved Particle Image Velocimetry data is proposed. This method generates several new time-series of velocity field by propagating in time the original one…

流体动力学 · 物理学 2025-01-14 Junwei Chen , Marco Raiola , Stefano Discetti

We introduce a novel end-to-end approach to improving the resolution of PIV measurements. The method blends information from different snapshots without the need for time-resolved measurements on grounds of similarity of flow regions in…

流体动力学 · 物理学 2022-09-07 Iacopo Tirelli , Andrea Ianiro , Stefano Discetti