Simulation of natural daylight illumination determined by a high dynamic range image

Voloboi, A. G.; Галактионов, В. А.; Kopylov, Edward A.; Shapiro, L. Z.

doi:10.1134/s0361768806050057

Cited by 5 publications

(3 citation statements)

References 8 publications

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“…The model is inserted in panorama. Such panorama can also be a light source for the created models if it is HDRI (High Dynamic Range Image) [13]. We had provided different parameters of HDRI panorama which can be set up by user.…”

Section: Showing a Spherical Panorama As A Background Imagementioning

confidence: 99%

“…But due to com-plexity of HDRI acquisition process in many cases the luminance recorded in a pixel does not equal to the luminance of this direction in reality. In such a case reconstruction methods allow to find scaling coefficient for all pixels of HDRI [13]. The bright regions of the image can be represented as parallel lights, if Virtual lights switch is On.…”

Section: Showing a Spherical Panorama As A Background Imagementioning

confidence: 99%

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Elaboration of Visualization Modes for Lighting Simulation in CATIA CAD System

Birukov¹,

Voloboy²,

Denisov³

2020

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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.

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Section: Showing a Spherical Panorama As A Background Imagementioning

confidence: 99%

Section: Showing a Spherical Panorama As A Background Imagementioning

confidence: 99%

Elaboration of Visualization Modes for Lighting Simulation in CATIA CAD System

Birukov¹,

Voloboy²,

Denisov³

2020

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“…But results of lighting simulation are physical values (of luminance or radiance) which dynamic range is more than two orders in most cases. Also human vision is capable to perceive luminance values from 10 -6 to 10 8 cd/m 2 , so this range should be provided in HDR images [5]. While the low dynamic range im-age often keeps picture in RGB color model (because it is suitable for fast rendering) the HDR image can have other color models like spectral one or CIE XYZ.…”

Section: Introductionmentioning

confidence: 99%

Scientific Visualization for Interrogation of Results in Lighting Simulation System

Birukov

Barladian

Denisov

et al. 2023

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Lighting modeling software packages often include a tool for processing and investigation of two-dimensional images that are the results of modeling. Functionality of these tools is usually minimal one and often consists of mapping of resultant images into monitor screen only. There are general image viewers and image processing programs. But in practice they either do not contain required functionality, or are so superfluous that result postprocessing becomes inconvenient with them. Therefore we had to implement own viewer that processes high dynamic range images generated by the lighting simulation and realistic computer graphics system as well as visualizes supplementary simulation information needed for engineer analysis. Lighting simulation module transfers to our viewer the generated image in physical values together with supplementary data. These data has per pixel nature and form additional layers of images. Our image processing module provides brightness high dynamic range compression for rendering of images generated with lighting modeling methods including stochastic ones, analysis of the image generation algorithms using additional data layers, applying additional visual effects for improving images appearance, and export of processed images to commonly used formats.

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