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 128K3voxel resolution), which are stored fully in core.
Original language | English |
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Pages (from-to) | 397-407 |
Number of pages | 11 |
Journal | Computer Graphics Forum (online) |
Volume | 35 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2016 |
Event | Eurographics 2016: The 37th Annual Conference of the European Association for Computer Graphics - Lisbon, Portugal Duration: 9 May 2016 → 13 May 2016 |