Hardware Lighting and Shading: a Survey

Kautz, Jan

doi:10.1111/j.1467-8659.2004.00007.x

Cited by 9 publications

(6 citation statements)

References 81 publications

(210 reference statements)

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“…The light vector of a pixel at in the view-plane is computed by the following equation: (25) where is the position of the point source, and is the physical coordinate of surface point associated with pixel . To model the distance fall-off effect of a point source, we can multiply an attenuation factor that is related to the distance between and , given by (26) where is a user defined parameter.…”

Section: B Point Light Sourcementioning

confidence: 99%

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An RBF-based compression method for image-based relighting

Leung

Wong

Lam

et al. 2006

IEEE Trans. on Image Process.

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In image-based relighting, a pixel is associated with a number of sampled radiance values. This paper presents a two-level compression method. In the first level, the plenoptic property of a pixel is approximated by a spherical radial basis function (SRBF) network. That means that the spherical plenoptic function of each pixel is represented by a number of SRBF weights. In the second level, we apply a wavelet-based method to compress these SRBF weights. To reduce the visual artifact due to quantization noise, we develop a constrained method for estimating the SRBF weights. Our proposed approach is superior to JPEG, JPEG2000, and MPEG. Compared with the spherical harmonics approach, our approach has a lower complexity, while the visual quality is comparable. The real-time rendering method for our SRBF representation is also discussed.

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Section: B Point Light Sourcementioning

confidence: 99%

“…Another way to represent the behavior of illumination is the SH approach [2], [25]. It has been widely used for representing various spherical illumination properties, such as bidirectional reflection distribution function (BRDF) [13], [26]- [28], distant environment [26], and precomputed radiance transfer (PRT) [14].…”

Section: B Relightingmentioning

confidence: 99%

An RBF-based compression method for image-based relighting

Leung

Wong

Lam

et al. 2006

IEEE Trans. on Image Process.

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“…Especially in computer games, its highly elaborate art pipeline builds upon the triangle mesh, which usually does not have stored neighbourhood information. Several techniques have been leveraged for processing on programmable graphics hardware recently [3,4].…”

Section: Introductionmentioning

confidence: 99%

A comparison of local parametric C0 Bézier interpolants for triangular meshes

Boschiroli¹,

Fünfzig

Romani

et al. 2011

Computers & Graphics

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Parametric curved shape surface schemes interpolating vertices and normals of a given triangular mesh with arbitrary topology are widely used in computer graphics for gaming and real-time rendering due to their ability to effectively represent any surface of arbitrary genus. In this context, continuous curved shape surface schemes using only the information related to the triangle corresponding to the patch under construction, emerged as attractive solutions responding to the requirements of resource-limited hardware environments. In this paper we provide a unifying comparison of the local parametric C 0 curved shape schemes we are aware of, based on a reformulation of their original constructions in terms of polynomial Bézier triangles. With this reformulation we find a geometric interpretation of all the schemes that allows us to analyse their strengths and shortcomings from a geometrical point of view. Further, we compare the four schemes with respect to their computational costs, their reproduction capabilities of analytic surfaces and their response to different surface interrogation methods on arbitrary triangle meshes with a low triangle count that actually occur in their real-world use.

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“…The shading computations may be accelerated by graphics hardware. 86 In addition, the shading model can be used with volumetric shadows to capture chromatic attenuation for simulating translucent rendering, 87 and can be combined with clipped volumes to increase the visual cues.…”

Section: Volume Illumination and Illustrationmentioning

confidence: 99%

Volume Visualization: A Technical Overview with a Focus on Medical Applications

2010

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With the increasing availability of high-resolution isotropic three-or four-dimensional medical datasets from sources such as magnetic resonance imaging, computed tomography, and ultrasound, volumetric image visualization techniques have increased in importance. Over the past two decades, a number of new algorithms and improvements have been developed for practical clinical image display. More recently, further efficiencies have been attained by designing and implementing volumerendering algorithms on graphics processing units (GPUs). In this paper, we review volumetric image visualization pipelines, algorithms, and medical applications. We also illustrate our algorithm implementation and evaluation results, and address the advantages and drawbacks of each algorithm in terms of image quality and efficiency. Within the outlined literature review, we have integrated our research results relating to new visualization, classification, enhancement, and multimodal data dynamic rendering. Finally, we illustrate issues related to modern GPU working pipelines, and their applications in volume visualization domain.

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Hardware Lighting and Shading: a Survey

Cited by 9 publications

References 81 publications

An RBF-based compression method for image-based relighting

An RBF-based compression method for image-based relighting

A comparison of local parametric C0 Bézier interpolants for triangular meshes

Volume Visualization: A Technical Overview with a Focus on Medical Applications

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