Estimating the Feasibility of Images Simulation in Unity 3D for Sub-Pixel Processing Algorithms

Computer image simulation is used in the development of optical measurement systems and processing algorithms. It allows the performance of a system or algorithm to be verified and its measurement uncertainty to be assessed. Modern algorithms make it possible to achieve sub-pixel accuracy in digital...

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Bibliographic Details
Main Authors: Sivov, N. Yu, Shmatko, E. V., Poroykov, A. Yu
Format: Conference Proceeding
Language:English
Subjects:
Computational modeling
computer image simulation
Digital images
Graphics
image processing algorithms
optical instrumentation
Optical variables measurement
Solid modeling
Statistical analysis
subpixel accuracy
Three-dimensional displays
Unity 3D
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Summary:Computer image simulation is used in the development of optical measurement systems and processing algorithms. It allows the performance of a system or algorithm to be verified and its measurement uncertainty to be assessed. Modern algorithms make it possible to achieve sub-pixel accuracy in digital image processing. An example of such algorithms is the cross-correlation processing in Particle Image Velocimetry. Often, standard graphics engines such as Unity 3D and Unreal Engine are used to simulate the images. The purpose of this work is to evaluate the possibility of using these tools to generate images for further processing by subpixel resolution algorithms. This paper presents the results of a computational experiment to estimate the maximum spatial resolution for simulations in Unity 3D. A qualitative and quantitative analysis of the results confirms the possibility of using the tested graphics engine for the analysis of subpixel resolution algorithms for digital image processing.
ISSN:2769-3538
DOI:10.1109/WECONF57201.2023.10147987