Dr. Dmitry D. Zhdanov Profile

Dr. Dmitry D. Zhdanov

SPIE Involvement:

Author

Publications (56)

Proceedings Article | 27 November 2023 Poster + Paper

Optical properties reconstruction with differentiable rendering

Igor Kinev, Anatoly Lysykh, Dmitry Zhdanov, Korlan Argynova, Igor Potemin, Vadim Sokolov, Andrei Zhdanov

Proceedings Volume 12767, 127671L (2023) https://doi.org/10.1117/12.2688285

KEYWORDS: Optical properties, Ray tracing, Cameras, Light sources, Light sources and illumination, Mathematical optimization, Monte Carlo methods, Light scattering, 3D modeling

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Proceedings Article | 27 November 2023 Paper

Effective caustics simulation for real-time rendering applications

Andrei Zhdanov, Dmitry Zhdanov, Igor Potemin

Proceedings Volume 12767, 127670O (2023) https://doi.org/10.1117/12.2687666

KEYWORDS: Optical causticity, Light sources and illumination, Computer simulations, Image processing, DirectX, Wavefronts, Visualization, Visibility, Scattering, OpenGL

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Proceedings Article | 27 November 2023 Poster + Paper

Photon maps acceleration with octree of hash tables

Anatoly Lysykh, Igor Kinev, Dmitry Zhdanov, Andrei Zhdanov, Vadim Sokolov

Proceedings Volume 12767, 127671J (2023) https://doi.org/10.1117/12.2687716

KEYWORDS: Ray tracing, Light sources and illumination, Optical causticity, Stochastic processes, Scattering, Visualization, Spatial resolution, Profiling

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Proceedings Article | 27 November 2023 Poster + Paper

Automatic building of annotated image datasets for training neural networks

Andrei Zhdanov, Egor Khilik, Dmitry Zhdanov, Igor Potemin, Alexander Belozubov, Yan Wang, Igor Kinev

Proceedings Volume 12767, 127671K (2023) https://doi.org/10.1117/12.2687751

KEYWORDS: Image segmentation, Point clouds, Education and training, Neural networks, Image processing, Depth maps, Data modeling, Deep learning

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Proceedings Article | 27 November 2023 Paper

Federative rendering model

Dmitry Zhdanov, Andrei Zhdanov, Vadim Sokolov, Yan Wang

Proceedings Volume 12767, 127670Q (2023) https://doi.org/10.1117/12.2686883

KEYWORDS: Image processing, Data processing, Software development, Photons, Image quality, Data transmission, Control systems, Computing systems, Computer hardware, Cameras

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Proceedings Article | 27 November 2023 Poster + Paper

Joint layout, object pose, and mesh reconstruction method from scanned point clouds with restoration of missing points

Maksim Sorokin, Dmitry Zhdanov, Andrei Zhdanov, Igor Potemin

Proceedings Volume 12767, 127671F (2023) https://doi.org/10.1117/12.2687671

KEYWORDS: Point clouds, 3D modeling, Feature extraction, Machine learning, Data modeling, Semantics, Neural networks, Education and training, Transformers, 3D image reconstruction

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Proceedings Article | 27 November 2023 Poster + Paper

Parametric scene model for geometry restoration using differential rendering method

Anatoly Lysykh, Igor Kinev, Dmitry Zhdanov, Andrei Zhdanov, Igor Potemin

Proceedings Volume 12767, 127671I (2023) https://doi.org/10.1117/12.2687691

KEYWORDS: Voxels, Point clouds, Light sources and illumination, Cameras, 3D modeling, Image restoration, Computer graphics, 3D image processing, Reconstruction algorithms

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Proceedings Article | 4 January 2023 Poster + Presentation + Paper

Adaptive vergence reconstruction method for mixed reality systems

Andrey Zhdanov, Dmitry Zhdanov, Nariman Esedov, Igor Potemin, Yan Wang

Proceedings Volume 12317, 123171A (2023) https://doi.org/10.1117/12.2644007

KEYWORDS: Mixed reality, Eye, Virtual reality, Video, Eye models, 3D modeling, Prototyping

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Proceedings Article | 4 January 2023 Poster + Presentation + Paper

Deep learning in tasks of interior objects recognition and 3D reconstruction

Maksim Sorokin, Dmitry Zhdanov, Andrey Zhdanov, Igor Potemin, Yan Wang

Proceedings Volume 12317, 1231718 (2023) https://doi.org/10.1117/12.2643991

KEYWORDS: Mixed reality, 3D modeling, Cameras, Neural networks, Object recognition, Visualization

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Proceedings Article | 4 January 2023 Poster + Presentation + Paper

Adaptive scanning methods for 3D scene reconstruction

Oleg Mirski, Sergei Bykovskii, Aleksei Denisov, Dmitry Zhdanov, Andrey Zhdanov, Igor Potemin, Yan Wang

Proceedings Volume 12317, 1231719 (2023) https://doi.org/10.1117/12.2643992

KEYWORDS: Cameras, 3D modeling, 3D scanning, Data modeling, Prototyping, Sensors, Reconstruction algorithms, Image processing, Visualization

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Proceedings Article | 4 January 2023 Poster + Presentation + Paper

Deep learning approach for creating the natural vergence-accommodation conditions in virtual and mixed reality systems

German Gebel, Andrey Zhdanov, Igor Kinev, Dmitry Zhdanov, Igor Potemin, Yan Wang

Proceedings Volume 12317, 123171B (2023) https://doi.org/10.1117/12.2644156

KEYWORDS: Neural networks, Image filtering, Virtual reality, Eye, Digital filtering, Visualization, Mixed reality

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Proceedings Article | 26 December 2022 Presentation + Paper

Use of two-level geometry representation for the ray tracing acceleration in optical systems with aspheric surfaces

Dmitry Zhdanov, Andrey Zhdanov, Igor Potemin, Yan Wang

Proceedings Volume 12315, 1231508 (2022) https://doi.org/10.1117/12.2644024

KEYWORDS: Ray tracing, Aspheric lenses, Point spread functions, Beam shaping, Stray light analysis, Software development, Optical design, Stray light, Spherical lenses, Reflection

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Proceedings Article | 21 December 2022 Presentation + Paper

Portable setup for effective measurement of the surface light-scattering properties

Vadim Sokolov, Igor Potemin, Dmitry Zhdanov, Sergey Ershov, Andrey Zhdanov, Yan Wang

Proceedings Volume 12315, 123150L (2022) https://doi.org/10.1117/12.2643997

KEYWORDS: Light sources, Measurement devices, Computer simulations, Spatial resolution, Photodetectors, Scattering, Lamps, Tunable filters, Sensors, Polarization

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Proceedings Article | 21 December 2022 Presentation + Paper

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

Dmitry Zhdanov, Igor Kinev, Andrey Zhdanov, Igor Potemin, Yan Wang

Proceedings Volume 12315, 123150R (2022) https://doi.org/10.1117/12.2644000

KEYWORDS: Optical components, Ray tracing, Receivers, Light scattering, Visualization, Light sources, Stochastic processes, Prototyping, Scattering

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SPIE Journal Paper | 7 December 2022 Open Access

Virtual prototyping of complex optical systems on multiprocessor workstations

Andrey Zhdanov, Dmitry Zhdanov, Maksim Sorokin, Igor Potemin

OE, Vol. 62, Issue 02, 021006, (December 2022) https://doi.org/10.1117/12.10.1117/1.OE.62.2.021006

KEYWORDS: Ray tracing, Prototyping, Optical engineering, Virtual reality, Displays, Heads up displays, Visualization, Light sources, Cameras, Associative arrays

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SPIE Journal Paper | 17 November 2022 Open Access

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

Dmitry Zhdanov, Igor Potemin, Andrey Zhdanov, Igor Kinev

OE, Vol. 62, Issue 02, 021002, (November 2022) https://doi.org/10.1117/12.10.1117/1.OE.62.2.021002

KEYWORDS: Light sources and illumination, Optical surfaces, Design and modelling, Optical components, Visualization, Ray tracing, Stray light, Receivers, Light scattering, Image visualization

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Proceedings Article | 15 October 2021 Presentation + Paper

Restoration of light parameters and forming criteria for the quality estimation of visual perception in mixed reality systems using neural networks

M. Sorokin, V. Antonov, A. A. Laputko, D. D. Zhdanov

Proceedings Volume 11876, 118760I (2021) https://doi.org/10.1117/12.2597164

KEYWORDS: Mixed reality, Light sources, Virtual reality, Light sources and illumination, Visualization, Cameras, Neural networks, Image quality, Augmented reality, Image analysis

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Proceedings Article | 9 October 2021 Poster + Presentation + Paper

Real-time tracking of surrounding objects in augmented and mixed reality applications

Vitalii Nezhelskii, Iuliia Golovchanskaia, Andrey Zhdanov, Dmitry Zhdanov

Proceedings Volume 11897, 118971A (2021) https://doi.org/10.1117/12.2604208

KEYWORDS: Augmented reality, Mixed reality, Visualization, Virtual reality, RGB color model, Neural networks

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Proceedings Article | 9 October 2021 Poster + Paper

The realistic rendering of scenes defined by the cloud of points

Anatoly Lysykh, Aleksandr Anikeev, Andrey Zhdanov, Dmitry Zhdanov

Proceedings Volume 11897, 1189715 (2021) https://doi.org/10.1117/12.2601632

KEYWORDS: Ray tracing, Clouds, Visualization, Mixed reality, 3D scanning, 3D modeling, Cameras, Virtual reality, Image quality

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Proceedings Article | 9 October 2021 Poster + Presentation + Paper

The luminance value calculation in a gradient refractive index media

Andrey Zhdanov, Andrei Lemeshev, Dmitry Zhdanov, Vadim Sokolov, Eugene Denisov

Proceedings Volume 11895, 118951F (2021) https://doi.org/10.1117/12.2601248

KEYWORDS: Ray tracing, Refractive index, Light scattering, Scattering, Geometrical optics, Computing systems, Computer graphics, Computational imaging, Particles, Gradient-index optics

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Proceedings Article | 9 October 2021 Presentation + Paper

Adaptation of algorithms for efficient execution on GPUs

Vadim Bulavintsev, Dmitry Zhdanov

Proceedings Volume 11895, 118950T (2021) https://doi.org/10.1117/12.2601619

KEYWORDS: Computer programming, Neural networks, Graphics processing units, Computer architecture

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Proceedings Article | 9 October 2021 Poster + Presentation + Paper

Use of the photon mapping methods for the optical systems stray light analysis

Igor Kinev, Igor Potemin, Andrei Lemeshev, Andrey Zhdanov, Ludmila Arhipova, Sergei Larionov, Dmitry Zhdanov

Proceedings Volume 11895, 118951H (2021) https://doi.org/10.1117/12.2601631

KEYWORDS: Light scattering, Optical components, Ray tracing, Receivers, Scattering, Light sources, Visualization, Stochastic processes, Monte Carlo methods, Stray light

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Proceedings Article | 14 September 2021 Presentation + Paper

The virtual prototyping of complex optical systems on multiprocessor workstations

Andrey Zhdanov, Dmitry Zhdanov, Maksim Sorokin

Proceedings Volume 11875, 118750C (2021) https://doi.org/10.1117/12.2597178

KEYWORDS: Ray tracing, Prototyping, Algorithm development, Virtual reality, Image resolution, Systems modeling, Light sources, Distributed computing

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Proceedings Article | 12 September 2021 Presentation + Paper

Light scattering in automotive paints: continuous medium approach vs correlations between particles

Sergey Ershov, Alexey Voloboy, Boris Barladian, Vadim Sokolov, Igor Potemin, Dmitry Zhdanov

Proceedings Volume 11874, 1187408 (2021) https://doi.org/10.1117/12.2597166

KEYWORDS: Bidirectional reflectance transmission function, Particles, Scattering, Light scattering, Visualization, Ray tracing

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Proceedings Article | 12 September 2021 Poster + Presentation + Paper

Building a mixed reality system free from visual discomfort

Iuliia Golovchanskaia, Aleksandr Anikeev, Oleg Mirsky, Maksim Sorokin, Dmitry Zhdanov, Andrey Zhdanov, Igor Potemin

Proceedings Volume 11876, 118760M (2021) https://doi.org/10.1117/12.2597182

KEYWORDS: 3D modeling, Neural networks, Mixed reality, RGB color model, Databases, Virtual reality, Data modeling, Computer aided design

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Proceedings Article | 20 June 2021 Presentation + Paper

Simulation of the BSDF measurements for scattering materials with GP-200 goniophotometer for light guiding plates

Vadim Sokolov, Igor Potemin, Dmitry Zhdanov, Boris Barladian

Proceedings Volume 11783, 1178305 (2021) https://doi.org/10.1117/12.2592378

KEYWORDS: Scattering, Light scattering, Optical properties, Goniophotometry, Optical components, Instrument modeling, Computer simulations, Statistical modeling, Scatter measurement, Optical simulations

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Proceedings Article | 10 October 2020 Poster + Presentation + Paper

Virtual prototyping of imaging optics with HOE

Igor Potemin, Dmitry Zhdanov, Andrey Zhdanov, Nikolay Bogdanov

Proceedings Volume 11548, 115481S (2020) https://doi.org/10.1117/12.2574080

KEYWORDS: Holographic optical elements, Prototyping, Diffraction, Holography, Holograms, Light scattering, LCDs, Optical testing, Optical components, 3D modeling

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Proceedings Article | 10 October 2020 Presentation + Paper

Realistic image synthesis with hybrid photon maps

Andrey Zhdanov, Dmitry Zhdanov, Vladimir Galaktionov

Proceedings Volume 11550, 115500G (2020) https://doi.org/10.1117/12.2574162

KEYWORDS: Realistic image synthesis, Ray tracing, Optical components, Computing systems, Instrument modeling, Geometrical optics

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Proceedings Article | 10 October 2020 Presentation + Paper

Restoration of lighting sources for virtual reality systems using convolutional neural networks, computer vision algorithms, and disparity maps

M. Sorokin, D. Zhdanov, A. Zhdanov

Proceedings Volume 11550, 115500L (2020) https://doi.org/10.1117/12.2575396

KEYWORDS: Evolutionary algorithms, Virtual reality, Convolutional neural networks, Machine vision, Computer vision technology, Light sources and illumination, Computing systems, Light sources, Augmented reality, Algorithm development

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Proceedings Article | 10 October 2020 Presentation + Paper

Problems of the realistic image synthesis in media with a gradient index of refraction

Andrey Zhdanov, Dmitry Zhdanov, Vadim Sokolov, Igor Potemin, Sergey Ershov, Vladimir Galaktionov

Proceedings Volume 11548, 115480W (2020) https://doi.org/10.1117/12.2574159

KEYWORDS: Realistic image synthesis, Gradient-index optics, Refraction, Ray tracing, Chemical elements, Cameras, 3D image processing, Free space, Stochastic processes

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Proceedings Article | 10 October 2020 Poster + Presentation + Paper

The efficient method of design optical element for low-intensity obstruction light

Nikolay Bogdanov, Igor Potemin, Dmitry Zhdanov, Yan Wang

Proceedings Volume 11548, 115481T (2020) https://doi.org/10.1117/12.2574098

KEYWORDS: Optical design, Optical components, Light, Light sources, Light emitting diodes, Optics manufacturing, Buildings, Light sources and illumination, Spherical lenses, Differential equations

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Proceedings Article | 18 December 2019 Paper

Simple online and realtime tracking people with new “soft-iou” metric

Sergey Menshov, Yan Wang, Andrey Zhdanov, Eugene Varlamov, Dmitry Zhdanov

Proceedings Volume 11342, 113420M (2019) https://doi.org/10.1117/12.2547922

KEYWORDS: Video surveillance, Video, Sensors, Cameras, Detection and tracking algorithms, Video processing, Data processing

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Proceedings Article | 18 December 2019 Paper

Analysis of the vergence correction method in video see-through mixed reality systems

Andrey Zhdanov, Yan Wang, Dmitry Zhdanov, Igor Potemin

Proceedings Volume 11338, 113383Q (2019) https://doi.org/10.1117/12.2548195

KEYWORDS: Mixed reality, Virtual reality, Prototyping, Image restoration, Visualization, Imaging systems

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Proceedings Article | 19 November 2019 Paper

Algorithm of design optics for illumination system with wide beam angle

Nikolay Bogdanov, Igor Potemin, Dmitry Zhdanov, Andrey Zhdanov

Proceedings Volume 11185, 1118515 (2019) https://doi.org/10.1117/12.2537612

KEYWORDS: Optical design, Lenses, Freeform optics, Light sources and illumination, Light emitting diodes, Borosilicate glass, Silicon

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Proceedings Article | 19 November 2019 Paper

Photorealistic visualization of fluorescent materials with dual surface scattering

Dmitry Zhdanov, Igor Potemin, Andrey Zhdanov, Vadim Sokolov, Andrew Lemeshev

Proceedings Volume 11185, 1118516 (2019) https://doi.org/10.1117/12.2537633

KEYWORDS: Luminescence, Scattering, Light scattering, Measurement devices, Visualization, Ray tracing, Fluorescent materials, Fabry–Perot interferometers, Reflectivity, Bidirectional reflectance transmission function

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Proceedings Article | 19 November 2019 Paper

Possibility of vergence disagreement reducing on the base of approximate restoration of the depth map

Andrey Zhdanov, Dmitry Zhdanov, Igor Potemin, Nikolay Bogdanov, Sergei Bykovskii

Proceedings Volume 11185, 1118517 (2019) https://doi.org/10.1117/12.2537753

KEYWORDS: Mixed reality, Cameras, Virtual reality, Prototyping, Eye, Image restoration, Video, Imaging systems, Visualization, Image processing

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Proceedings Article | 19 November 2019 Paper

Providing the quality control in manufacturing of optical elements

Yan Wang, Andrey Zhdanov, Igor Potemin, Dmitry Zhdanov

Proceedings Volume 11185, 1118518 (2019) https://doi.org/10.1117/12.2537844

KEYWORDS: Optical components, Glasses, Control systems, Prisms, Optical filters, Optics manufacturing, Optical testing equipment, Standards development, Image quality, Polishing

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Proceedings Article | 18 November 2019 Paper

Stereo matching using convolution neural network and LIDAR support point grid

Sergei Bykovskii, Aleksei Denisov, Andrey Zhdanov, Alexander Belozubov, Alexander Antonov, Elizaveta Kormilitsyna, Dmitry Zhdanov

Proceedings Volume 11187, 111871J (2019) https://doi.org/10.1117/12.2537723

KEYWORDS: LIDAR, Convolution, Neural networks, Stereoscopic cameras, Mixed reality, Imaging systems, Sensors, Convolutional neural networks, Network architectures, Clouds

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Proceedings Article | 21 June 2019 Presentation + Paper

Analysis of the visual perception conflicts in the mixed reality systems with the real-world illumination parameters restoration

Andrey Zhdanov, Dmitry Zhdanov, Igor Potemin, Nikolay Bogdanov

Proceedings Volume 11062, 110620W (2019) https://doi.org/10.1117/12.2526169

KEYWORDS: Mixed reality, Virtual reality, Light sources, Video, Visualization, Prototyping, Eye, Image restoration, Neural networks, Light sources and illumination

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Proceedings Article | 21 June 2019 Paper

Segmentation of illuminated areas of light using fully-convolutional neural networks and computer vision algorithms for augmented reality systems

Maxim Sorokin, Andrey Zhdanov, Dmitry Zhdanov, Igor Potemin, Nikolay Bogdanov

Proceedings Volume 11062, 110621N (2019) https://doi.org/10.1117/12.2526150

KEYWORDS: Augmented reality, Image segmentation, Neural networks, Virtual reality, Light sources and illumination, Light sources, Machine vision, Algorithm development, Evolutionary algorithms, Glasses

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The relevance of this topic is due to the rapid development of virtual and augmented reality systems. The problem lies in the formation of natural conditions for lighting objects of the virtual world in real space. To solve a light sources determination problem and recovering its optical parameters were proposed the fully-convolutional neural network, which allows catching the 'behavior of light' features. The output of FCNN is a segmented image with light levels and its strength. Naturally, the fully-convolutional neural network is well suited for image segmentation, so as an encoder was taken the architecture of VGG-16 with layers that pools and convolves an input image to 1x1 pixel and wisely classifies it to one of a class which characterizes its strength. As image dataset was synthesized by Integra developed realistic scene rendering software 'Lumicept', which has on its boat powerful tools for modeling and passing the behavior of light, so there is no doubt of wrong behavior or visualization of light rays and its secondary lighting, that guarantees proper optical parameters and its classification. Lumicept renders the image and its multi-color mask, where each color corresponds to it's optical strengthens. More 'cold' colors mean less intensive illumination when 'hot' colors correspond for the light sources, in digit equivalent that values ranging from 0 to 500 nits (or candela per square meter), where 0 is not lit at all area and 500 is a value of a light brightness of a typical room lamp. These images were used to feed CNN to dense layer, where the network learn features to recognize and as output upsamples to a segmentation image. To say more closely about an upsample layer, this is a kind of a function that brings a low-resolution image to a high-one by duplicating each pixel twice, this is called the nearest neighbor approach. Now FCNN decision can be used in tasks of definition of lighted areas of an accommodation, restoring brightness parameters, taking features of shadows, analyzing its secondary illumination and classifies it to one of a brightness level, which nowadays is one of a major task in augmented reality systems to place a synthesized object to our environment to match the specified optical parameters and lighting of a room, also speaking about determination of a light, the CNN encoder can determine the type of illumination, by this, is meant ceiling ones or wall light sources. Neural network training was conducted on 221 train images and 29 validation images with learning rate 1E-2 and 200 epochs, after training the loss was 0,2. As a test was used an ‘intersection over union’ method, that compares the ground truth area of an input image and output image, comparing its pixels and giving the result of accuracy. The mean IoU is 0.7, almost rightly classifying the first class with a value of 90 percents of accordance and the last class with a probability of 30 percents. Lately, the FCNN will be trained on more images and will be trained to determine light sources location.

Proceedings Article | 21 June 2019 Paper

The efficient method of mixed reality light restoration using HDR image of 3D scene

Nikolay Bogdanov, Igor Potemin, Dmitry Zhdanov, Andrey Zhdanov

Proceedings Volume 11062, 110621Y (2019) https://doi.org/10.1117/12.2526159

KEYWORDS: Light sources, Mixed reality, High dynamic range imaging, Virtual reality, Augmented reality, Light sources and illumination, Computing systems, Light

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SPIE Journal Paper | 22 February 2019

Realistic rendering of scenes with anisotropic media

Dmitry Zhdanov, Sergey Ershov, Leo Shapiro, Vadim Sokolov, Alexey Voloboy, Vladimir Galaktionov, Igor Potemin

OE, Vol. 58, Issue 08, 082413, (February 2019) https://doi.org/10.1117/12.10.1117/1.OE.58.8.082413

KEYWORDS: Ray tracing, Cameras, Polarization, Crystals, Refraction, Dielectric polarization, Mueller matrices, Scattering, Optical engineering, Computer graphics

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Proceedings Article | 5 November 2018 Paper

Peculiarities of optical element manufacturing in the Chinese optical industry

Yan Wang, Irina Livshits, Igor Potemin, Dmitry Zhdanov, Alexey Voloboy

Proceedings Volume 10815, 108151P (2018) https://doi.org/10.1117/12.2504244

KEYWORDS: Optics manufacturing, Optical components, Lens design, Optical design, Polishing, Prototyping, Standards development, Cameras, Glasses, Wafer-level optics

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Proceedings Article | 5 November 2018 Paper

Analysis of the visual perception conflicts in designing mixed reality systems

Igor Potemin, Andrey Zhdanov, Nikolay Bogdanov, Dmitry Zhdanov, Irina Livshits, Yan Wang

Proceedings Volume 10815, 108150U (2018) https://doi.org/10.1117/12.2503397

KEYWORDS: Mixed reality, Virtual reality, Visualization, Prototyping, Eye, Ray tracing, Light sources and illumination, Light sources, Video, Stochastic processes

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Proceedings Article | 5 June 2018 Paper

Use of computer graphics methods for efficient stray light analysis in optical design

Dmitry Zhdanov, Igor Potemin, Andrey Zhdanov, Alexey Voloboy

Proceedings Volume 10690, 106902H (2018) https://doi.org/10.1117/12.2312429

KEYWORDS: Light scattering, Scattering, Stray light, Ray tracing, Sensors, Optical design, Stochastic processes, Sun, Visualization, Light sources

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Proceedings Article | 5 June 2018 Paper

Hybrid ray tracing method for photorealistic image synthesis in head-up displays

Igor Potemin, Dmitry Zhdanov, Andrey Zhdanov, Nikolay Bogdanov, Alexey Voloboy

Proceedings Volume 10690, 106900I (2018) https://doi.org/10.1117/12.2312589

KEYWORDS: Ray tracing, Heads up displays, Stochastic processes, LCDs, Augmented reality, Eye, Light sources, Systems modeling, Light scattering, Optical components

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