A novel single-camera approach to large-scale, three-dimensional particle tracking based on glare-point spacing

Hou, Jianfeng; Kaiser, Frieder; Sciacchitano, Andrea; Rival, David E.

doi:10.1007/s00348-021-03178-8

Cited by 15 publications

(9 citation statements)

References 28 publications

(31 reference statements)

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“…Given that D B is known, the distance (depth o) of the bubble from the camera plane could then be estimated from a single perspective by evaluating the features of the glare-point pattern in the bubble image. Thus, Hou et al (2021) demonstrated the principle successfully in a very large volume of order (V = O(10 m 3 )).…”

Section: Introductionmentioning

confidence: 91%

“…Note that any error of D B linearly propagates to the depth estimate. Hou et al (2021) used a second camera perspective in order to The experiment was performed in a room without any external airflow. The bubbles were guided through a 1 m-long acrylic-glass tube, illuminated by a diffuse LED screen providing homogeneous illumination over a 20 cm × 10 cm area, and recorded via a high-speed camera (Photron Fastcam Mini WX100, 2048 × 2048 px 2 , f = 100 mm, N = 11).…”

Section: Tracer Sizementioning

confidence: 99%

“…To simplify measurements in large volumes, Hou et al (2021) presented the glare-point particle tracking (GPPT) technique. The GPPT approach was developed in order to perform cost and time-efficient measurements with very limited equipment.…”

Section: Introductionmentioning

confidence: 99%

“…The present study builds on the single-camera GPPT approach initially described in Hou et al (2021) and reports on recent progress towards large-scale in situ particle tracking in very large volumes. First, the underlying optical principles of the GPPT approach are discussed.…”

Section: Introductionmentioning

confidence: 99%

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Large-scale volumetric particle tracking using a single camera: Analysis of the scalability and accuracy of glare-point particle tracking

Kaiser

Rival

2022

Preprint

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Recent advances in tracer, illumination, and camera technology, paired with new processing algorithms, have been pushing the limits of scale for three-dimensional flow measurements. The present study explores the state-of-the-art and discusses the current progress towards full-scale, in situ flow measurements in very large measurement volumes of order 10m² or larger. In particular, we focus on industrial and environmental applications, where the measurement time, the processing time, and overall system cost all have to be minimized. With the glare-point particle tracking (GPPT) approach, we present a cost and time-efficient volumetric measurement technique using a single-camera setup, air-filled soap bubbles (AFSBs), and natural illumination. The GPPT approach is tested and characterized in a pyramidal-shaped measurement volume ($V=18m³) in an outdoor, open-jet wind tunnel. Bubbles of uniform size are produced by a bubble-generator prototype and illuminated by the sun. The uniform bubble size enables a depth estimate for each bubble based on the glare-point spacing in the images from a single camera, thereby removing the need for additional cameras and perspectives. The measurement accuracy of the GPPT is then assessed by: (a) characterizing the performance of the bubble-generator prototype; (b) analyzing bubble deformation and its effects; and (c) assessing the accuracy of the depth estimate based on glare-point spacing. Finally, the scalability of the approach is discussed and, based on the light scattering behavior of large AFSBs, a discussion is made of how GPPT will enable three-dimensional flow characterization in very large measurement volumes (V=O(100m³)) in the near future.

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Section: Introductionmentioning

confidence: 91%

Section: Tracer Sizementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Large-scale volumetric particle tracking using a single camera: Analysis of the scalability and accuracy of glare-point particle tracking

Kaiser

Rival

2022

Preprint

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“…Suppose the target microbubbles are spherical particles, in-focus bright spots namely the glare points will appear 26 , 27 . Here, we analyze the glare points of target microbubbles under an observation of 90 deg for underwater microbubbles detection and identification method.…”

Section: Underwater Microbubbles Detection and Identification Based O...mentioning

confidence: 99%

Underwater microbubbles detection and identification based on dark field imaging

Wang,

Sun

et al. 2024

Opt. Eng.

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An underwater microbubbles detection and identification method based on dark field imaging is presented, focusing on measurement of the characteristics of microbubbles with high-resolution image capture. The target microbubbles in sampling volume of interest are illuminated by a laser sheet, which is matched with the depth of field. Images are captured in-focus under an observation angle of 90 deg to implement dark field detection, which suppresses the influence of interferential light, such as backlighting, scattering light, and blur caused by defocus. In this configuration, we propose to measure bubble size based on the distance of peak values of two glare points formed by the diffraction and reflection lights. The modified Resnet18 is employed to recognize the bubble images, and the number of bubbles with different diameters in bubble images is counted by template matching. Experimental results show that this dark field configuration allows high resolution imaging and evaluation of the diameter scale of the microbubbles. The precision of bubble recognition and quantification of bubbles within a certain range achieves more than 90%.

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Large-scale particle shadow tracking and orientation measurement with collimated light

Baker

DiBenedetto

2023

Exp Fluids

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Lagrangian particle tracking experiments are a key tool to understanding particle transport in fluid flows. However, tracking particles over long distances is expensive and limited by both the intensity of light and number of cameras. In order to increase the length of measured particle trajectories in a large fluid volume with minimal cost, we developed a large-scale particle-shadow-tracking method. This technique is able to accurately track milimeter-scale particles and their orientations in meter-scale laboratory fluid flows. By tracking the particles' shadows cast by a wide beam of collimated light from a high-power LED, 2D particle position and velocity can be obtained, as well as their 3D orientation. Compared with traditional volumetric particle tracking techniques, this method is able to measure particle kinematics over a larger area using much simpler imaging and tracking techniques. We demonstrate the method on sphere, disk, and rod particles in a wavy wind-driven flow, where we successfully track particles and reconstruct their orientations.

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A novel single-camera approach to large-scale, three-dimensional particle tracking based on glare-point spacing

Cited by 15 publications

References 28 publications

Large-scale volumetric particle tracking using a single camera: Analysis of the scalability and accuracy of glare-point particle tracking

Large-scale volumetric particle tracking using a single camera: Analysis of the scalability and accuracy of glare-point particle tracking

Underwater microbubbles detection and identification based on dark field imaging

Large-scale particle shadow tracking and orientation measurement with collimated light

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