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.

Author: Samukinos Goltilrajas
Country: Senegal
Language: English (Spanish)
Genre: Finance
Published (Last): 18 November 2005
Pages: 284
PDF File Size: 11.58 Mb
ePub File Size: 7.98 Mb
ISBN: 561-6-76034-690-4
Downloads: 31224
Price: Free* [*Free Regsitration Required]
Uploader: Shakanos

Efficient Sparse Voxel Octrees. Finally, we present a variable-radius postprocess 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 octrres.

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

We also employ a novel normal compression format for storing high-precision object-space normals. Skip to main content.

Our voxel codebase is open sourced and available at http: We also employ a novel normal compression format for storing high-precision object-space normals. Finally, we present a variable-radius post-process filtering technique for smoothing out blockiness caused by discrete sampling of octrefs attributes.

  DPO2024 MANUAL PDF

egficient 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. Abstracting with credit is permitted.

Efficient Sparse Voxel Octrees | Research

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.

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 octress casts. Copyright by the Association for Computing Machinery, Inc.

Efficient sparse voxel octrees.

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

  ASSEMBLEUR Z80 PDF

We present in detail a compact data structure for storing voxels and an efficient algorithm for performing ray casts using this structure. 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 sprse and the full citation on the first octree.

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.