An improved illumination model for shaded display

Whitted, Turner

doi:10.1145/358876.358882

Cited by 1,373 publications

(246 citation statements)

References 20 publications

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“…The signal enters into the waveguide by forcing the cells at y=0 to have the electric and magnetic fields of a plane wave (Eqs. (30)) with E 0 =0.01, c=1/ √ 2 and ω=π/100 (see figure 11). The conductivity is smoothly changed along three cells, as in Sec.…”

Section: Microstrip Waveguidementioning

confidence: 99%

Three-dimensional lattice Boltzmann model for electrodynamics

Mendoza

Muñoz

2010

Phys. Rev. E

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In this paper we introduce a three-dimensional Lattice-Boltzmann model that recovers in the continuous limit the Maxwell equations in materials. In order to build conservation equations with antisymmetric tensors, like the Faraday law, the model assigns four auxiliary vectors to each velocity vector. These auxiliary vectors, when combined with the distribution functions, give the electromagnetic fields. The evolution is driven by the usual Bhatnager-Gross-Krook (BGK) collision rule, but with a different form for the equilibrium distribution functions. This lattice Bhatnager-Gross-Krook (LBGK) model allows us to consider for both dielectrics and conductors with realistic parameters, and therefore it is adequate to simulate the most diverse electromagnetic problems, like the propagation of electromagnetic waves (both in dielectric media and in waveguides), the skin effect, the radiation pattern of a small dipole antenna and the natural frequencies of a resonant cavity, all with 2% accuracy. Actually, it shows to be one order of magnitude faster than the original Finite-difference time-domain (FDTD) formulation by Yee to reach the same accuracy. It is, therefore, a valuable alternative to simulate electromagnetic fields and opens lattice Boltzmann for a broad spectrum of new applications in electrodynamics.

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Section: Microstrip Waveguidementioning

confidence: 99%

Three-dimensional lattice Boltzmann model for electrodynamics

Mendoza

Muñoz

2010

Phys. Rev. E

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“…Computer graphics has made continuous progress in accuracy and efficiency since the advent in the 1970s of raytracing [1,2], which essentially simulates the transport and material interactions of photons or rays of light in a three-dimensional virtual scene. The concept is simple, but practical reality is slow and memory-intensive, so while for decades people have understood the problem to be solved -the "rendering equation" [3] -making usable visualization and rendering systems has typically entailed taking practical shortcuts with the lighting simulation.…”

Section: Prior Workmentioning

confidence: 99%

Towards perceptual accuracy in 3D visualizations of illuminated indoor environments

2015

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Through a series of experiments, we have measured the extent to which 3D visualizations of a variety of lighting conditions in an indoor environment can accurately convey primary perceptual attributes. Our goal was to build and rigorously test perceptually accurate visual simulation tooling, which can be valuable in the design, development, and control of complex digital solid-state lighting systems. The experiments included assessments of lighting-related perceptual attributes in a real-world environment and a variety of virtual presentations. Iteratively improving choices in modeling, light simulation, tonemapping, and display led to a robust and honest visualization pipeline that provides a perceptual match of the real world for most perceptual attributes and that is nearly equivalent in perceptual performance to photography. One persistently difficult attribute is scene brightness, as observers consistently overestimate the brightness of dimmed scenes in virtual presentations. In this paper we explain the experimental 3D visualization pipeline variables that were addressed, the perceptual attributes that were measured, and the statistical methods that were applied to evaluate our success.

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“…Only until very recently, scientists are able to capture light with a half trillion fps camera and image synthesis analysis . However, the field of computer graphics has long been rendering photorealistic images with the powerful framework of ray tracing . Previously, other authors proposed methods for rendering light shaft in a flash or of real‐time rendering.…”

Section: Introductionmentioning

confidence: 99%

Time‐varying light motion in single convergence

Lin

Chai

et al. 2018

Computer Animation & Virtual

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As light travels fast in the physical world, it is generally hard to capture the propagation of light with a real camera. However, with the development of photon mapping, it is possible to simulate and visualize such fantastic effect. In this paper, we propose a new algorithm based on progressive photon mapping to render the time-varying light motion. By incorporating our algorithm with participating media, we synthesis the animation of time-varying light beams expanding in space with slow motion. Interesting phenomena can be observed in our experiments through designating either a constant light source or a bullet light that only emits instantaneously. Our algorithm is efficient in the sense that all frames of the animation can be rendered with only one convergence of the progressive photon mapping, showing the advantage of revealing the light propagation process by our algorithm. The experiments demonstrate the effectiveness and efficiency of our approach.

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An improved illumination model for shaded display

Cited by 1,373 publications

References 20 publications

Three-dimensional lattice Boltzmann model for electrodynamics

Three-dimensional lattice Boltzmann model for electrodynamics

Towards perceptual accuracy in 3D visualizations of illuminated indoor environments

Time‐varying light motion in single convergence

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