2021
DOI: 10.3390/jmse9101066
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And…Action! Setting the Scene for Accurate Visual CFD Comparisons Using Ray Tracing

Abstract: Increased graphical capabilities of contemporary computer hardware make ray tracing possible for a much wider range of applications. In science, and numerical fluid mechanics in particular, visual inspections still play a key role in both understanding flows, predicted by computational fluid dynamics, exhibiting features observable in real-life, such as interfaces or smoke, and when comparing such flows against experimental observations. Usually, little attention is paid to the visualisation itself, unless whe… Show more

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Cited by 3 publications
(3 citation statements)
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“…The cleanpass subset that we used consists of around 15K image pairs. The metric that we monitor is the end-point-error (EPE), calculated by 1 N ∑ i=1 |d i − d * i |, and the 1-pixel error (>1 px), as a percentage of the points with EPE larger than 1.…”
Section: Dataset and Metricsmentioning
confidence: 99%
See 1 more Smart Citation
“…The cleanpass subset that we used consists of around 15K image pairs. The metric that we monitor is the end-point-error (EPE), calculated by 1 N ∑ i=1 |d i − d * i |, and the 1-pixel error (>1 px), as a percentage of the points with EPE larger than 1.…”
Section: Dataset and Metricsmentioning
confidence: 99%
“…Stereo matching aims at recovering a scene's geometric information via stereo disparity estimation, which is a long-standing vision-based task for many underwater autonomous systems [1,2] and applications [3][4][5]. The early rectified stereo matching method focuses on finding the per-pixel disparity along the horizontal baseline in a rectified binocular image pair in a handcrafted manner.…”
Section: Introductionmentioning
confidence: 99%
“…A python module called pyTST which implements the "Transient Scanning Technique" presented in [65][66][67] is used to check whether the selected number of time step is sufficient or not. pyTST module allows to detect transient portion of a signal and measure the statistical uncertainty with that portion removed [68].…”
Section: Validationmentioning
confidence: 99%