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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Efficient Sparse Voxel Octrees | Research

Permission to make digital or hard copies of part or all of this work for personal or classroom use is boxel without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and voxl full citation on the first page. 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 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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In this paper we odtrees the possibilities of using voxel representations as a generic way for expressing complex and feature-rich geometry on current and future GPUs. Skip to main content. We present in detail a compact data structure for storing voxels and an efficient algorithm for performing ray casts using this structure. Finally, we present a variable-radius postprocess filtering technique for smoothing out blockiness caused by discrete sampling of shading attributes.

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.

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. Copyrights for components of this work owned by others than ACM must be honored. Efficient Sparse Voxel Octrees. Abstracting with credit is permitted.

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We also employ a novel normal compression format for storing high-precision object-space normals. Copyright by sparsf Association for Computing Machinery, Inc. Based on benchmark results, we 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.

Monday, February 1, We also employ a novel normal compression format for storing high-precision object-space normals. We augment the voxel data with novel contour information that increases octreess resolution, allows more compact encoding of smooth surfaces, and accelerates ray casts.

Our voxel codebase is open sourced and available at http: