An Empirical Comparison of Progressive and Wavelet Radiosity

Willmott, Andrew J.; Heckbert, Paul S.

doi:10.1007/978-3-7091-6858-5_16

Cited by 10 publications

(11 citation statements)

References 15 publications

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“…This test scene is our hardest test scene, with lots of shadow boundaries. It is on such test scenes that higher order wavelets were behaving poorly with previous experimentations 13 .…”

Section: Computation Timementioning

confidence: 65%

“…The first test to conduct is whether higher order wavelets are giving a better visual impression. In previous tests 13 , higher order wavelets were unable to provide a correct approximation of the radiosity function, especially near shadow boundaries. Shadow boundaries are very important because they have a large impact on the visual perception of the scene.…”

Section: Visual Comparison Of Our Three Wavelet Basesmentioning

confidence: 89%

“…If these optimisations are kept with higher order wavelets, they can inhibit some of their properties. experimental study 13 the practical problems of higher order wavelets were largely overcoming their theoretical benefits.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Approach Makes Higher Order Wavelets Really Efficient for Radiosity

Cuny¹,

Alonso²,

Holzschuch³

2000

Computer Graphics Forum

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Since wavelets were introduced in the radiosity algorithm 5 , surprisingly little research has been devoted to higher order wavelets and their use in radiosity algorithms. A previous study 13 has shown that wavelet radiosity, and especially higher order wavelet radiosity was not bringing significant improvements over hierarchical radiosity and was having a very important extra memory cost, thus prohibiting any effective computation. In this paper, we present a new implementation of wavelets in the radiosity algorithm, that is substantially different from previous implementations in several key areas (refinement oracle, link storage, resolution algorithm). We show that, with this implementation, higher order wavelets are actually bringing an improvement over standard hierarchical radiosity and lower order wavelets.

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“…This test scene is our hardest test scene, with lots of shadow boundaries. It is on such test scenes that higher order wavelets were behaving poorly with previous experimentations 13 .…”

Section: Computation Timementioning

confidence: 65%

Section: Visual Comparison Of Our Three Wavelet Basesmentioning

confidence: 89%

See 1 more Smart Citation

A Novel Approach Makes Higher Order Wavelets Really Efficient for Radiosity

Cuny¹,

Alonso²,

Holzschuch³

2000

Computer Graphics Forum

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“…In practice, they have several drawbacks, especially in terms of memory costs. In the early implementations of wavelets bases in the radiosity algorithm, these negative points were overcoming the positive theoretical advantages [19]. Recent research [7] has shown that using new implementation methods [2,3,7,18,21] we can actually exploit the power of higher order wavelets, and that their positive points are now largely overcoming the practical problems.…”

Section: Previous Workmentioning

confidence: 99%

Wavelet Radiosity on Arbitrary Planar Surfaces

2000

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Abstract. Wavelet radiosity is, by its nature, restricted to parallelograms or triangles. This paper presents an innovative technique enabling wavelet radiosity computations on planar surfaces of arbitrary shape, including concave contours or contours with holes. This technique replaces the need for triangulating such complicated shapes, greatly reducing the complexity of the wavelet radiosity algorithm and the computation time. It also gives a better approximation of the radiosity function, resulting in better visual results. Our technique works by separating the radiosity function from the surface geometry, extending the radiosity function defined on the original shape onto a simpler domain -a parallelogrambetter behaved for hierarchical refinement and wavelet computations.

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“…Due to the complexity of the algorithms and data structures (by definition we are working with very complex models), no experimental analysis of the behavior of clustering algorithms has been undertaken today. Willmott and Heckbert 15 provided an inspiring study for progressive refinement radiosity and hierarchical radiosity without clustering, but evidently this study was restricted in the type of scene considered.…”

Section: Introductionmentioning

confidence: 99%

A Practical Analysis of Clustering Strategies for Hierarchical Radiosity

Hasenfratz

Damez

Sillion

et al. 1999

Computer Graphics Forum

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The calculation of radiant energy balance in complex scenes has been made possible by hierarchical radiosity methods based on clustering mechanisms. Although clustering offers an elegant theoretical solution by reducing the asymptotic complexity of the algorithm, its practical use raises many difficulties, and may result in image artifacts or unexpected behavior. This paper proposes a detailed analysis of the expectations placed on clustering and compares the relative merits of existing, as well as newly introduced, clustering algorithms. This comparison starts from the precise definition of various clustering strategies based on a taxonomy of data structures and construction algorithms, and proceeds to an experimental study of the clustering behavior for real‐world scenes. Interestingly, we observe that for some scenes light is difficult to simulate even with clustering. Our results lead to a series of observations characterizing the adequacy of clustering methods for meeting such diverse goals as progressive solution improvement, efficient ray casting acceleration, and faithful representation of object density for approximate visibility calculations.

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An Empirical Comparison of Progressive and Wavelet Radiosity

Cited by 10 publications

References 15 publications

A Novel Approach Makes Higher Order Wavelets Really Efficient for Radiosity

A Novel Approach Makes Higher Order Wavelets Really Efficient for Radiosity

Wavelet Radiosity on Arbitrary Planar Surfaces

A Practical Analysis of Clustering Strategies for Hierarchical Radiosity

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