Rendering Large-Scale Environments Efficiently

Doctoral Thesis (2025)
Author(s)

M.L. Molenaar (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

E. Eisemann – Promotor (TU Delft - Electrical Engineering, Mathematics and Computer Science)

R. Guerra Marroquim – Copromotor (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Research Group
Computer Graphics and Visualisation
DOI related publication
https://doi.org/10.4233/uuid:89e15bc5-780e-4d2a-8bf6-ab074650de05 Final published version
More Info
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Publication Year
2025
Language
English
Related content
Research Group
Computer Graphics and Visualisation
ISBN (electronic)
978-94-6518-188-2
Downloads counter
78
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Abstract

Despite the exponential growth in computational power, displaying highly detailed scenes remains challenging due to memory and performance limitations. One method of representing scenes is using voxels; the tiny cubic cells of a regular grid. In this dissertation, we are concerned with the Sparse Voxel Directed Acyclic Graph (SVDAG) data structure and how it can be used to improve large-scene rendering. The SVDAG is a hierarchical data structure that aims to reduce memory usage by identifying geometric redundancy. We address several challenges regarding this type of voxel compression.

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