EFFICIENT SPARSE VOXEL OCTREES PDF

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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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Efficient Sparse Voxel Octrees | Research

We augment the voxel voxl with novel contour information that increases geometric resolution, allows more compact encoding of smooth surfaces, and accelerates ray casts. Skip to main content. Our voxel codebase is open sourced and available at http: Abstracting with credit is permitted. Based on benchmark results, we show that our voxel representation is competitive with triangle-based representations in terms of ray efficiejt performance, while allowing tremendously greater geometric detail and unique shading information for every voxel.

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.

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We present in detail a compact data structure for storing voxels and an efficient algorithm for performing ray casts using this structure. 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.

Efficient Sparse Voxel Octrees.

Finally, we present a variable-radius postprocess filtering technique for smoothing out blockiness caused by discrete sampling of shading attributes. We augment the voxel data with efticient contour information that increases geometric resolution, allows more compact encoding of smooth surfaces, and accelerates ray casts. We also employ a novel normal compression format for storing high-precision object-space normals.

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. Copyright by the Association for Computing Machinery, Inc.

Permission to make digital or hard copies of part or all of this work for personal etficient 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 full citation on the first page.

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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. Monday, February 1, Copyrights for components of this work owned by others than ACM must be honored.

We present in detail a compact data structure for storing voxels and an efficient algorithm for performing ray casts using this structure.