Parameter Optimization in Sparse Voxel DAGs for Efficient Geometry Representation of Voxelized 3D Scenes
Madoš, Branislav
Ádám, Norbert
Chovancová, Eva
Khorshidiyeh, Heidar
Poprík, Peter
2025-08-06T07:30:05Z
2025-08-06T07:30:05Z
2025
1785-8860
hu_HU
http://hdl.handle.net/20.500.14044/31952
This paper addresses the issue of geometry representation of voxelized three-
dimensional scenes, using domain-specific hierarchical data structures, utilizing lossless
compression. It discusses the details of the sparse voxel directed acyclic graph hierarchical
data structure with implemented child node pointers, including a detailed analysis of its
construction. Then, based on this analysis, we discuss the possibilities of adjusting its
parameters, in order to optimize it in terms of its binary representation size. In particular,
the possibility of using various numbers of child node pointer types and the binary
representation lengths of these is considered; this is also related to the different binary
representation lengths of the child node mask and the different binary representation lengths
and meanings of the constituent header tags. The various settings of the data structure
parameters are then tested on three models whose original representation – surface
polygonal models – was transformed: each model was voxelized to six different resolutions.
The results obtained were also compared with an uncompressed representation of the
geometry of the voxelized three-dimensional scene, encoded using a regular three-
dimensional grid of one-bit scalar values (1b/vox). Based on these tests, using a 16b child
node mask, three different child node pointer lengths (8b, 16b and 32b) and an 8b address
word length came out as the best parameter combination of the investigated data structure
in terms of data representation compactness. In the tests, a 1.88–3.06-fold data compression
rate was achieved with this parameter configuration for the used test models and scene
resolutions, compared to the traditional SVDAG structure using 32b pointers. The maximum
data compression ratio (1098.3) – compared to the 3D grid of 1b/vox scalar values – was
achieved with this parameter setting for a scene resolution of 4096 3 voxels.
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Parameter Optimization in Sparse Voxel DAGs for Efficient Geometry Representation of Voxelized 3D Scenes
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Óbudai Egyetem
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Budapest
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Óbudai Egyetem
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