Rendering Large-Scale Environments Efficiently

Doctoral Thesis (2025)
Author(s)

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

Contributor(s)

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

R. Guerra Marroquim – Copromotor (TU Delft - Computer Graphics and Visualisation)

Research Group
Computer Graphics and Visualisation
More Info
expand_more
Publication Year
2025
Language
English
Related content
Research Group
Computer Graphics and Visualisation
ISBN (electronic)
978-94-6518-188-2
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

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.

Files

License info not available