EFFICIENT SPARSE VOXEL OCTREES PDF

Efficient Sparse Voxel Octrees – Analysis, Extensions, and Implementation. Samuli Laine. Tero Karras. NVIDIA Research. Abstract. This technical report extends. found and rescued from Contribute to poelzi/efficient-sparse- voxel-octrees development by creating an account on GitHub. Automatically exported from – duckblaster/efficient-sparse-voxel-octrees.

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We augment the voxel data with novel contour information that increases geometric resolution, allows more compact encoding of smooth surfaces, and accelerates ray casts.

Efficient sparse voxel octrees.

Efficient Sparse Voxel Octrees. Finally, we present a variable-radius postprocess filtering technique for smoothing out blockiness caused by discrete sampling of shading attributes.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the efcicient citation on the first page.

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Our benchmarks show that our voxel representation is competitive with triangle-based representations in terms of ray casting performance, while allowing tremendously greater geometric detail and unique shading information for every voxel.

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Efficient Sparse Voxel Octrees – Analysis, Extensions, and Implementation|NVIDIA

Abstracting with credit is permitted. Our voxel codebase is open sourced and voexl at http: Copyrights for components of this work owned by others than ACM must be honored.

Monday, February 1, We present in detail a compact data structure for storing voxels and an efficient algorithm for performing ray casts using this structure. We augment the voxel data with novel contour information that increases geometric resolution, allows more compact encoding of smooth surfaces, and accelerates ray casts.

Finally, we present a variable-radius post-process filtering technique for smoothing out blockiness caused by discrete sampling of shading attributes.

We also employ a novel normal compression format for storing high-precision object-space normals. Based on benchmark results, we show spzrse our voxel representation is competitive with triangle-based representations in terms of ray casting performance, while allowing tremendously greater geometric detail and unique shading information for every voxel. Eficient this paper we examine the possibilities of using voxel representations as a generic way for expressing complex and feature-rich geometry on current and future GPUs.

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In this paper, we examine the possibilities of using voxel representations as a generic way for expressing complex and feature-rich geometry on current and future GPUs.

We also employ a novel normal compression format for storing high-precision object-space normals. We present in detail a compact data structure for storing voxels and an efficient algorithm for performing ray casts using this structure.

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