Illumination Modeling and Generation of Realistic Images Using Internet Technologies

Kinev

Optical Design and Testing XII

et al. 2022

This article explores the possibility of using multicriteria applied to the ray tracing result processing method to improve the efficiency of performing groups of repetitive calculations. If the usual ray tracing criterion is a filter that passes rays in accordance with some condition, usually a series of events that must happen to the ray by the time it reaches the radiation receiver, then multicriteria contains not one criterion, but a set of criteria, each of which is assigned to certain result of the calculation. The proposed concept of multicriteria was developed to solve the problems of scattered light analysis in optical imaging devices. Existing mechanisms make it possible to find sources of stray illumination of an image, but they only show the average value of stray illumination formed by an element of an optical device. In most cases, it is necessary to know the nature of the distribution of stray illumination in the image. Using the concept of multicriteria allows you to effectively solve this problem. Within the framework of one computational process, criteria are formed that correspond to the detected scattered light sources, and each of the criteria is associated with its own image. Using a special technique of ray tracing and processing of ray tracing results, separate results are generated for each of the criteria. This technique can be used not only for the analysis of scattered light, but also for modeling multichannel and multiconfiguration systems. The paper presents the results of scattered light simulation in two optical devices and virtual prototyping of the GP-200 goniophotometer.

Section: Reviewmentioning

confidence: 99%

Using multicriteria for ray propagation to analyze scattered light in optical devices

Kinev

Optical Design and Testing XII

et al. 2022

“…Leaving aside the effects of diffraction scattering, the most appropriate solutions for computer simulation of the background illumination that occurs at the image sensor are radiation transfer methods based on stochastic ray tracing. 4 The simplest and most effective solutions are the methods of unidirectional (forward or backward) 1,5 ray tracing, which solve the radiation transfer equations or calculate the radiance using Monte Carlo integration methods, 6 based on algorithms for generating pseudorandom variables. Unidirectional Monte Carlo ray tracing methods are well known 7 and are a simple and reliable way of computer simulation of stray light propagation in an optical device and calculation of stray illumination in the image plane.…”

Section: Related Workmentioning

confidence: 99%

Methods of visual analysis in the design of the stray light protection of optical devices

et al. 2022

.We provide an analysis of the existing methods for calculating parasitic illumination, methods for its analysis, and visualization. To search for and analyze the sources of stray light in optical devices, a software model of the beam propagation criterion in an optical device is proposed, which makes it possible to select beams that satisfy a given criterion. We consider the possibility of using the method of bidirectional progressive stochastic ray tracing with inverse photon maps to calculate the stray illumination of an image and analyze the causes of its occurrence. To analyze the sources of stray illumination on the radiation detector, it was proposed to use progressive photon maps, which calculated the caustic and secondary components of the illumination and fixed the image illumination on a static regular mesh attached to the surfaces of the optical device. Special visualization tools allow the display of this illumination over the image of an optical device and determination of the elements of the device that have the greatest impact on the level of stray illumination of the image. We present examples of calculation, analysis, and visualization of parasitic illumination of a number of optical systems of lenses with real mechanical structures.

Proceedings of the 31th International Conference on Computer Graphics and Vision. Volume 2

“…Naturally, users are looking for additional computational resources to be used for their goals. The ideas to provide such resources via Internet were elaborated in the past [1]. Now a convenient cloud computing services appeared, and they are considered as computational resources along with the other possibilities [2].…”

Section: Introductionmentioning

confidence: 99%

Towards Hardware OpenGL Support in Cloud Computing

Denisov¹,

Kalugina²

2021

Modern realistic computer graphics applications, such as physically accurate lighting simulation systems, require a lot of computer power for images generation. Usage of the resources of cloud computing platforms for such calculations allows to avoid additional expenses for purchase and maintenance of own computer farms. However often such simulation systems use OpenGL for 3D images display, for example during scene preparation and modification. Since cloud-based virtual machines had only software (that is, slow) OpenGL display support, it was not convenient for the users to work with their habitual computer graphics applications in such environments, and typical workflow was to prepare all data on local computer and then execute simulation in the cloud service (usually using distributed processing). Recently several cloud computer service providers started to suggest users the option of hardware (GPU-based) OpenGL support in their cloud virtual machines. This article is devoted to the investigation of hardware OpenGL display options, suggested by various providers of cloud computing services, and their comparison. Available types of hardware GPU were checked and compared, along with the conditions for their usage.