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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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. Our voxel codebase is open sourced sparxe available at http: Finally, we present a variable-radius postprocess filtering technique for smoothing out blockiness caused by discrete sampling of shading attributes.

Efficient Sparse Voxel Octrees. 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.

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

Efficient sparse voxel octrees.

Monday, February 1, We augment the voxel data with novel contour information that increases geometric resolution, allows more compact encoding of smooth surfaces, and accelerates ray casts. 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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Our benchmarks show that our voxel representation is competitive with triangle-based representations in terms of ray casting performance, while allowing xparse greater geometric detail effifient unique shading information for every voxel.

We also employ a novel normal compression format for storing high-precision object-space normals. We also sprse 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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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.