Editing Compressed High-resolution Voxel Scenes with Attributes

Journal Article (2023)
Author(s)

M.L. Molenaar (TU Delft - Computer Graphics and Visualisation)

E. Eisemann (TU Delft - Computer Graphics and Visualisation)

Research Group
Computer Graphics and Visualisation
Copyright
© 2023 M.L. Molenaar, E. Eisemann
DOI related publication
https://doi.org/10.1111/cgf.14757
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 M.L. Molenaar, E. Eisemann
Research Group
Computer Graphics and Visualisation
Issue number
2
Volume number
42
Pages (from-to)
235-243
Reuse Rights

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Abstract

Sparse Voxel Directed Acyclic Graphs (SVDAGs) are an efficient solution for storing high-resolution voxel geometry. Recently, algorithms for the interactive modification of SVDAGs have been proposed that maintain the compressed geometric representation. Nevertheless, voxel attributes, such as colours, require an uncompressed storage, which can result in high memory usage over the course of the application. The reason is the high cost of existing attribute-compression schemes which remain unfit for interactive applications. In this paper, we introduce two attribute compression methods (lossless and lossy), which enable the interactive editing of compressed high-resolution voxel scenes including attributes.