A Bidirectional Scattering Function Reconstruction Method Based on Optimization of the Distribution of Microrelief Normals

Bogdanov, Nicolai N.; Zhdanov, Andrey; Zhdanov, Dmitriy; Potyomin, Igor S.; Sokolov, V. G.; Denisov, Evgeny Yurievich

doi:10.33383/2017-098

Cited by 3 publications

(6 citation statements)

References 9 publications

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“…7) was used to reconstruct BSDF with "Normal" numerical method. More details are presented in [27]. The investigations show the "Normal" method is very effective from viewpoint of calculation speed and fast convergence in optimization procedure during BSDF reconstruction.…”

Section: Figure 6 "Normals" Methods Of Bsdf Reconstructionmentioning

confidence: 99%

“…Part of them is based on pure numerical methods in which a BSDF is calculated by ray tracing simulation through an explicit geometry model of rough surface. The method based on the normal density distribution of rough surfaces is proposed in [26,27]. In this method the micro-relief is simulated with the help of distribution of normals represented with an analytical function having a set of parameters defined with the help of the optimization process.…”

Section: Numerical Methods Of Bsdf Reconstructionmentioning

confidence: 99%

“…The main problem here is the definition of analytical function specifying normal density distribution and its parameters. In [27] it was proposed to use two analytical functions like Gauss and Cauchy (Fig. 7):…”

Section: Figure 6 "Normals" Methods Of Bsdf Reconstructionmentioning

confidence: 99%

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Overview of BSDF Reconstruction Methods for Rough Surfaces

Sokolov¹,

Voloboy²,

Potemin³

et al. 2022

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The work provides an overview of methods aimed to the reconstruction of Bidirectional Scattering Distribution Function (BSDF) for rough surfaces. The elements with rough surfaces are permanently present in our life and widely used in modern optical devices, for example, in light guiding plates for display illuminating systems, car dashboards, or luminaires. Light scattering by rough surface is an important component in the visual appearance of many materials including water, glass, skin, etc. The problem of the rough surface visualization is complex and contains many different aspects. Accordingly there are many techniques to provide their realistic rendering. In many lighting simulation and optical design tasks it is sufficient and more effective to replace real geometry of rough surface by a surface optical characteristics expressed via BSDF. So, accurate reconstruction of scattering properties of rough surfaces is a significant factor in visualizations tasks and generation of photorealistic images. In some cases, BSDF can be just measured. However, in many cases direct BSDF measurements are impossible if, for example, it is required to define BSDF inside of the material and neither a measuring device detector nor a light source can be placed inside the material. So this results in the development of many approaches for BSDF reconstruction. It started in the end of the last century with the development of many analytical methods based on microfacet models of rough surface such as the Phong, the Ward reflection, the Cook-Torrance models. Nowadays many direct numerical methods of BSDF reconstruction appear, for example, methods based on normals and heights distribution. As a rule, these methods use ray tracing to calculate BSDF. Sizes of microroughness can be small, sufficient to raise a problem which optics wave or ray is more appropriate here. To answer this and other questions related to BSDF reconstruction, an investigation of well-known and effective reconstruct methods was conducted. This paper also presents the study results for eight real samples with different profile parameters of rough surface. The verification is based on numerical comparison with real measured data and visual comparison of images generated using different reconstructed BSDF. Finally, the general recommendations are presented about what methods and for what applications are more appropriate.

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Section: Figure 6 "Normals" Methods Of Bsdf Reconstructionmentioning

confidence: 99%

Section: Numerical Methods Of Bsdf Reconstructionmentioning

confidence: 99%

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Overview of BSDF Reconstruction Methods for Rough Surfaces

Sokolov¹,

Voloboy²,

Potemin³

et al. 2022

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show abstract

“…Numerical methods. Nowadays with increasing of computer power new methods of BSDF reconstruction have been developed in [1,33,34]. Part of them is pure numerical ones.…”

Section: 2mentioning

confidence: 99%

“…Numerical methods are based on building a geometry model of rough surface and calculation of BSDF by light simulation. The method based on the normal density distribution of rough surfaces is proposed in [1,33] and on the height distribution -in [34]. Here a micro-relief is built with help of normal or height distribution represented by an analytical function which parameters are defined with help of the optimization process.…”

Section: 2mentioning

confidence: 99%

Comparison of BSDF Reconstruction Methods for Rough Surfaces

Sokolov

Potemin

Voloboy³

2022

Proceedings of the 32nd International Conference on Computer Graphics and Vision

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The work is devoted to the problem of reconstruction of a bi-directional scattering distribution functions (BSDF) for rough surfaces. The paper contains short overview of different methods and comparison of their results. The elements with rough surfaces are widely used in modern optical devices, for example, such as light guiding plates for illuminating system of displays, car dashboards, or luminaires. So, accurate and effective reconstruction of scattering properties of rough surfaces is important for visualizations tasks and generation of photorealistic images. Typically scattering properties of rough surface are described with help of BSDF. In some cases, BSDF can be just measured; however in many cases direct measurement is not sufficient. For example, if it is required to define BSDF inside of the material. Such measurement is impossible or too expensive because neither detector of the measuring device nor the light source can be placed inside the material. Therefore, a lot of different approaches to reconstruct BSDF for rough surfaces were developed. The approaches are based on both wave and ray optics and use different analytical and numerical solutions. A great variety of approaches results in the situation when you would like to know what method could be selected as more appropriate for the specific sample. This work investigates a bunch of perspective methods of BSDF reconstruction for surfaces of different roughness. The verification is based on numerical as well as visual comparison with real measured data. Finally, the general conclusions and recommendations are presented about what method and for what applications is more appropriate.

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A Bidirectional Scattering Function Reconstruction Method Based on Optimization of Microrelief Heights Distribution

Sokolov

Zhdanov

Potemin

et al. 2020

Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2

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The work is devoted to the development of a new method for reconstructing the scattering properties of a rough surface, which is described using the bi-directional scattering distribution function (BSDF). There are several different methods of BSDF reconstruction using various approaches. However, they all have their drawbacks: for example, a method based on modeling the measured distribution of heights often requires a complicated fit apart from the expensive measurements themselves, various analytical methods are usu-ally operable within the average roughness values with their standard distribution, and a rather good and universal method for optimizing the normals distribution density does not support internal reflections on the elements of the roughest surface. The proposed solution uses the geometry models of the rough surface, which allows simulating a physically more accurate propagation of light through the rough surface taking into account internal reflections, and hence a more accurate reconstruction of the bidirectional scattering distribution function. The results of BSDF reconstruction with the new method are proved by comparison with measurement results.

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A Bidirectional Scattering Function Reconstruction Method Based on Optimization of the Distribution of Microrelief Normals

Cited by 3 publications

References 9 publications

Overview of BSDF Reconstruction Methods for Rough Surfaces

Overview of BSDF Reconstruction Methods for Rough Surfaces

Comparison of BSDF Reconstruction Methods for Rough Surfaces

A Bidirectional Scattering Function Reconstruction Method Based on Optimization of Microrelief Heights Distribution

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