This paper presents practical experience in constructing stereo presentations of texts and formulas on an autostereoscopic monitor in stereo presentations designed to display the results of numerical simulation. The task of constructing stereo images of texts and formulas is a structural subtask of a general study devoted to the development of methods and algorithms for constructing stereo presentations of the results of scientific research. Previous research has been done for classic stereo devices.This paper discusses the construction of stereoscopic images on an autostereoscopic monitor. The autostereoscopic monitor allows one to observe a stereo image without glasses, while ensuring the quality of the stereo image, which is not inferior to the quality of the stereo image, presented using a classic 3D projection stereo system. Various methods of obtaining stereo images supported by the monitor were tested, namely, the multi-view presentation of the object and the construction of depth maps. The results for both methods are presented. The aim of the study is to create a technology that allows one to quickly and efficiently build full-fledged stereo presentations of scientific results.
The paper is devoted to the development of a method for reconstructing the scattering properties of a rough surface. The rough surface, in this case, is the dielectricair interface. Typically, these properties are described by the bidirectional scattering distribution function. Direct measuring of such functions is either impossible, or its cost is very high. The method of reconstructing the bidirectional scattering distribution function, based on the distribution of the elevations of the microrelief, requires a complicated fitting procedure and often yields not very good results. In the proposed solution, the rough surface is modelled by a parametric function that simulates the density distribution of the normals to the faces of the surface microrelief. The result of optimizing the density distribution of the normals to the faces of the surface microrelief is in good agreement with the expected one.
О р д е н а Л е н и н а ИНСТИТУТ ПРИКЛАДНОЙ МАТЕМАТИКИ имени М.В.Келдыша Р о с с и й с к о й а к а д е м и и н а у к Е.Ю. Денисов, А.Г. Волобой, И.А. Калугина Автоматизация тестирования интерактивной системы моделирования освещенности Москва-2018 Денисов Е.Ю., Волобой А.Г., Калугина И.А. Автоматизация тестирования интерактивной системы моделирования освещенности В статье описана технология автоматического регрессионного тестирования, применяемая при разработке и сопровождении в пределах жизненного цикла современных программных комплексов компьютерной графики и оптического моделирования. Рассмотрены основные типы ошибок и способы реализации тестов с помощью командной строки, языка сценария Python и пакета AutoIt, позволяющего создавать тесты для интерактивного графического интерфейса программы. Применение описанной технологии на практике позволяет снизить время тестирования выпускаемой версии программного продукта с нескольких недель до двух-трех часов.
This article describes approaches to implementation of software module for processing of high dynamic range images, as a part of lighting simulation and photorealistic computer graphics software. Lighting simulation software requiresits own image processing application because functionality of existing ones usually is not enough for lighting simulation analysis purposes. Processing and analysis of lighting simulation results usually requires the certain functionality that is absent in many image processing programs. The article describes an application developed by us which contains such functionality related to lighting simulation. At first, it is a dynamic range compression function for displaying images on computer monitors. Besides this, our application includes additional functionality for improving image quality, such as forced desaturation of brightest highlights on the images, and also image filtering for decreasing noise caused by stochastic methods used in simulation. For simulation result analysis it is required to transfer additional data (besides image itself) to the processing module. Such layer-based data structure of high dynamic range image files generated by lighting simulations software is described.
The CATIA CAD system was not initially intended for lighting simulation. However, modern engineering tasks require the lighting simulation to be a part of a new product design process. This justifies the necessity of integration of lighting simulation systems into CATIA CAD and adding special visualization modes that are initially absent in this CAD. This article describes elaboration of such visualization directly in CATIA workspace window using CAT-IA's native CAA RADE programming environment. We propose the visualization modes that significantly simplify preparation of initial data for lighting simulation. Three new modes are considered here: visualization of geometry tessellation in form of a wireframe triangular mesh, heat map display of the optical parameters distribution over the scene, and spherical panorama preview. Implementation of the new visualization may cause the problems for redraw of the additional data in real time. The paper describes the proposed methods of solving or bypassing them. Using the new display modes provides a possibility of tuning some scene parameters and viewing preliminary results immediately while rendering of such scenes may take several hours. Such additional functionality can significantly improve the process of design of a new product.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.