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Anti-Aliasing and Visibility Preprocessing Algorithms for Mobile Graphics Devices

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The evolution of computer graphics has reached remarkable fidelity due to decades of research and significant hardware advancements. Modern graphics cards feature extensive dedicated hardware and immense processing power for sophisticated light transport simulations. However, this high-end hardware is costly, power-hungry, and generates substantial heat. An alternative is mobile GPUs, which offer a more affordable solution with limited processing capabilities. The automotive industry has begun integrating these GPUs into high-end dashboards to create modern, interactive experiences. This shift towards dynamic displays is influenced by the near photorealism of contemporary images, which typically require expensive hardware. The challenge lies in generating appealing visuals within the constraints of mobile GPUs. This dissertation explores and combines existing techniques that work within these limitations. It introduces a new method for pre-computing and storing a significant portion of light transport calculations. The first proposal merges a progressive Level-of-Detail technique with normal map filtering for stateless mesh filtering, addressing vertex clustering issues and enabling aliasing-free, high-frequency specular shading. The study also considers the determinism required in automotive visualization and examines the application and compression of Geometry-buffer sequences for configurable video playback. Lastly, it prop

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Anti-Aliasing and Visibility Preprocessing Algorithms for Mobile Graphics Devices, Christoph Weber

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Année de publication
2017
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