Geometry and Attribute Compression for Voxel Scenes

Journal article (2016)

Authors

B Dado

T.R. Kol Computer Graphics and Visualisation -

P. Bauszat Computer Graphics and Visualisation -

J.M.C.M. Thiery Computer Graphics and Visualisation -

E. Eisemann Computer Graphics and Visualisation -

Research Group

Computer Graphics and Visualisation () (TU Delft)

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http://resolver.tudelft.nl/uuid:1e841d2f-3e6c-4af9-b40f-f0871bbc5efb

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Published Date

2016

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Intelligent Systems

Research Group

Computer Graphics and Visualisation

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.