Geometry and Attribute Compression for Voxel Scenes

Bas Dado, Timothy R. Kol, Pablo Bauszat, Jean‐Marc Thiery, Elmar Eisemann

Computer Graphics Forum · 2016 · 31 citations · 24 references

DOIFull text

Open access

Concepts

Abstract

Abstract Voxel‐based approaches are today's standard to encode volume data. Recently, directed acyclic graphs (DAGs) were successfully used for compressing sparse voxel scenes as well, but they are restricted to a single bit of (geometry) information per voxel. We present a method to compress arbitrary data, such as colors, normals, or reflectance information. By decoupling geometry and voxel data via a novel mapping scheme, we are able to apply the DAG principle to encode the topology, while using a palette‐based compression for the voxel attributes, leading to a drastic memory reduction. Our method outperforms existing state‐of‐the‐art techniques and is well‐suited for GPU architectures. We achieve real‐time performance on commodity hardware for colored scenes with up to 17 hierarchical levels (a 128K 3 voxel resolution), which are stored fully in core.

References

24