An Efficient Radiosity Approach for Realistic Image Synthesis

Cohen, Michael F.; Greenberg, Donald P.; Immel, David S.; Brock, Phillip J.

doi:10.1109/mcg.1986.276629

Cited by 310 publications

(271 citation statements)

References 9 publications

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“…This method can be made adaptive by the introduction of a two-level mesh; the coarser patches shoot light to a finer set of adaptively refined elements [2]. This process is known as substructuring.…”

Section: Methodsmentioning

confidence: 99%

An Empirical Comparison of Progressive and Wavelet Radiosity

Willmott

Heckbert

1997

Eurographics

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Abstract. This paper presents a comparison of basic progressive and wavelet radiosity algorithms. Several variants of each algorithm were run on a set of scenes at several parameter settings, and results were examined in terms of their error, speed, and memory consumption. We did not compare more advanced variations such as clustering or discontinuity meshing. Our results show that progressive radiosity with substructuring works fairly well for all scenes. Among wavelet methods, the Haar basis works best, while higher order methods suffer because of extreme memory consumption and because poor visibility handling causes discontinuous, blocky shadows.

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Section: Methodsmentioning

confidence: 99%

An Empirical Comparison of Progressive and Wavelet Radiosity

Willmott

Heckbert

1997

Eurographics

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“…They have found their application in computer graphics field, in form of so-called radiosity methods [24] [25]. They were developed mainly to account for non physically based but very time-efficient computation of the indirect illumination.…”

Section: Finite Element Methods -Radiositymentioning

confidence: 99%

State-of-the-art review of solar design tools and methods for assessing daylighting and solar potential for building-integrated photovoltaics

Jakica

2018

Renewable and Sustainable Energy Reviews

142

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Solar design can take many different forms across disciplines with different methodologies and goals, ranging from acquiring architectural visual effects to assessing illumination for daylighting and solar radiation potential on building surfaces for PV implementation. Furthermore, a capability of solar design methodologies and tools to accurately and time efficiently simulate light phenomena can greatly influence performance results and design decisions. This is especially important in complex cases such as dense urban settings with the significant surface shadowing, and vertical facades including daylighting devices and photovoltaics. Consequently, choosing a suitable approach and tool for each design phase is essential for achieving unique design and performance goals. This paper was carried out within the framework of IEA-PVPS Task 15 -BIPV and it aims to facilitate this decision for all parties involved in solar design process. Here presented, is an overview of almost 200 solar design tools, analyzing their numerous features regarding accuracy, complexity, scale, computation speed, representation as well as building design process integration in about 50 2D/3D, CAD/CAM and BIM software environments. Furthermore, tools from various fields have been analysed in a broad interdisciplinary context of solar design with a particular attention for being used for Daylighting and Building-Integrated Photovoltaics (BIPV) purposes. This approach should open many new perspectives on a potentially wider multidisciplinary usage and interpretation of solar design tools, sometimes well beyond their initial scope of work.

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“…We draw on the rich history of global illumination by leveraging operator formulations and error analysis [Arvo et al 1994], Monte Carlo algorithms [Veach 1998], and finite element radiosity methods [Cohen and Wallace 1993]. Many iterative radiosity techniques are also closely related to numerical linear algebra methods [Golub and van Loan 1996;Demmel 1997] for solving systems of linear equations, such as Jacobi and Gauss-Seidel iterations.…”

Section: Forward Renderingmentioning

confidence: 99%

“…In this paper, we consider the inverse problem [Seitz et al 2005]-we seek to invert the rendering equation to undo the interreflections and recover the direct lighting in a real scene. For the forward problem, theoretical developments based on operator notation and error analysis, as well as algorithmic approaches such as efficient finite element radiosity and Monte Carlo methods are well-known [Arvo et al 1994;Cohen and Wallace 1993;Kajiya 1986;Veach 1998]. However, relatively little is known about the theoretical and computational properties of the inverse problem.…”

Section: Introductionmentioning

confidence: 99%

A Dual Theory of Inverse and Forward Light Transport

Bai

Chandraker

et al. 2010

Lecture Notes in Computer Science

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A cornerstone of computer graphics is the solution of the rendering equation for interreflections, which allows the simulation of global illumination, given direct lighting or corresponding light source emissions. This paper lays the foundations for the inverse problem, whereby a dual theoretical framework is presented for inverting the rendering equation to undo interreflections in a real scene, thereby obtaining the direct lighting. Inverse light transport is of growing importance, enabling a variety of new applications like separation of individual bounces of the light transport, and projector radiometric compensation to display images free of global illumination artifacts in real-world environments that exhibit complex geometric and reflectance properties. However, solving the inverse problem involves the inversion of a large light transport matrix (acquired by measurement on real scenes). While straightforward matrix inversion is intractable for most realistic resolutions, there is scant prior work on either theoretical foundations or fast computational algorithms to meet the objectives of inverse light transport.In this paper, we develop a mathematical theory that exposes the duality of forward and inverse light transport. Forward rendering also formally involves a matrix or operator inversion, which is conceptually equivalent to a multi-bounce Neumann series expansion. We show the existence of an analogous series for the inverse problem. However, the convergence is oscillatory in the inverse case, with more interesting conditions on material reflectance. Importantly, we give physical meaning to this duality, by showing that each term of our inverse series cancels an interreflection bounce, just as the forward series adds them.In algorithmic terms, we develop the analog of iterative finite element methods like forward radiosity to efficiently solve light transport inversion. Our iterative inverse light transport algorithm is very fast, requiring only matrix-vector multiplications, and follows directly from the dual theoretical formulation. We also explore the connections to forward rendering in terms of Monte Carlo and wavelet-based techniques. As an initial practical application, we first acquire the light transport of a real static scene, and then demonstrate iterative inversion for radiometric compensation on high-resolution datasets, as well as rapid separation of the bounces of global illumination. *

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An Efficient Radiosity Approach for Realistic Image Synthesis

Cited by 310 publications

References 9 publications

An Empirical Comparison of Progressive and Wavelet Radiosity

An Empirical Comparison of Progressive and Wavelet Radiosity

State-of-the-art review of solar design tools and methods for assessing daylighting and solar potential for building-integrated photovoltaics

A Dual Theory of Inverse and Forward Light Transport

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