Realism in Computer Graphics: A Survey

Amanatides, John

doi:10.1109/mcg.1987.277026

Cited by 32 publications

(14 citation statements)

References 101 publications

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“…Refs. [7,8] maintain that colour space information can be used to classify photographic images and CG. The colours of CG always appear inauthentic and CG are smoother than photographic images on object surface.…”

Section: Framework Of the Methodsmentioning

confidence: 99%

Blind Identification of Photorealistic Computer Graphics Based on Fractal Dimensions

Lv¹,

Shen²,

Wan³

et al. 2014

Proceedings of the 2014 International Conference on Computer, Communications and Information Technology

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-The perceptual differences between photographic images and CG primarily exist in the colour and the surface texture. In this study a blind identification algorithm was proposed to identify CG, which is based on fractal dimensions. Firstly, change the image's colour space from RGB to HSV and extract fractal dimensions on HSV colour space; Secondly, obtain fractal dimensions from image's gradient image; Thirdly, calculate fractal dimensions of PEM and the global fractal dimension. The experimental results showed its effectiveness, and the correct detection rate of CG is 96%.

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Section: Framework Of the Methodsmentioning

confidence: 99%

Blind Identification of Photorealistic Computer Graphics Based on Fractal Dimensions

Lv¹,

Shen²,

Wan³

et al. 2014

Proceedings of the 2014 International Conference on Computer, Communications and Information Technology

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show abstract

“…3). Column density contributions by the cells that lie inside the patch along each section are calculated using the "fast voxel traversal algorithm" from Amanatides & Woo (1987) (for more details on this traversal method, see Appendix A). Besides ray sections that terminate at cell centres, we also need to calculate the column density contribution for ray sections that lead to cell corners located at those patch faces that are farthest away from the source (see Fig.…”

Section: Ray Tracing a Single Patchmentioning

confidence: 99%

“…Furthermore, the interpolation introduces undesirable diffusion. We therefore decided to implement the more accurate and straightforward ray tracing approach of Amanatides & Woo (1987).…”

Section: Ray Tracing a Single Patchmentioning

confidence: 99%

“…We then trace the ray, again using the "fast voxel traversal algorithm" (Amanatides & Woo 1987, see Appendix A), but now to trace through the global patch-mapping array. This results in the list of patches cut by the ray, which is used to accumulate their local contributions, which were already communicated earlier, to arrive at the total column density (as described in Sect.…”

Section: Constructing the List Of Patches Cut By A Raymentioning

confidence: 99%

“…Here we briefly discuss the "fast voxel traversal algorithm" from Amanatides & Woo (1987). We have used this algorithm twice in our method, once to ray trace through the cells ("voxels") of a single patch (local long characteristics, Sect.…”

Section: Appendix A: Fast Voxel Traversalmentioning

confidence: 99%

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Hybrid characteristics: 3D radiative transfer for parallel adaptive mesh refinement hydrodynamics

Rijkhorst¹,

Plewa

Dubey

et al. 2006

A&A

111

139

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We have developed a three-dimensional radiative transfer method designed specifically for use with parallel adaptive mesh refinement hydrodynamics codes. This new algorithm, which we call hybrid characteristics, introduces a novel form of ray tracing that can neither be classified as long, nor as short characteristics, but which applies the underlying principles, i.e. efficient execution through interpolation and parallelizability, of both. Primary applications of the hybrid characteristics method are radiation hydrodynamics problems that take into account the effects of photoionization and heating due to point sources of radiation. The method is implemented in the hydrodynamics package FLASH. The ionization, heating, and cooling processes are modelled using the DORIC ionization package. Upon comparison with the long characteristics method, we find that our method calculates the column density with a similarly high accuracy and produces sharp and well defined shadows. We show the quality of the new algorithm in an application to the photoevaporation of multiple over-dense clumps. We present several test problems demonstrating the feasibility of our method for performing high resolution three-dimensional radiation hydrodynamics calculations that span a large range of scales. Initial performance tests show that the ray tracing part of our method takes less time to execute than other parts of the calculation (e.g. hydrodynamics and adaptive mesh refinement), and that a high degree of efficiency is obtained in parallel execution. Although the hybrid characteristics method is developed for problems involving photoionization due to point sources, and in its current implementation ignores the effects of diffuse radiation and scattering, the algorithm can be easily adapted to the case of more general radiation fields.

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New Directions in Third Wave Human-Computer Interaction: Volume 1 - Technologies

2018

Human–Computer Interaction Series

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Realism in Computer Graphics: A Survey

Cited by 32 publications

References 101 publications

Blind Identification of Photorealistic Computer Graphics Based on Fractal Dimensions

Blind Identification of Photorealistic Computer Graphics Based on Fractal Dimensions

Hybrid characteristics: 3D radiative transfer for parallel adaptive mesh refinement hydrodynamics

New Directions in Third Wave Human-Computer Interaction: Volume 1 - Technologies

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