Sparse Voxel DAGs
Doktorsavhandling, 2016

This thesis investigates a memory-efficient representation of highly detailed geometry in 3D voxel grids. The memory consumption of a plain dense grid scales too fast as the resolution increases to be feasible at very high resolutions. In computer graphics, the geometry is often surface geometry, and representing the data in a sparse voxel octree exploits the sparsity, making the memory consumption scale much better than for a dense grid. The size of sparse voxel octrees is still significant at high resolutions, and this thesis consists of four papers addressing the memory consumption by also exploiting coherence in the data. The coherence is detected automatically in voxel data sets and encoded losslessly in a directed acyclic graph as nodes sharing descendants, as opposed to a tree where all descendants are unique. The sparse voxel DAG is used to encode hard shadows and static and time-varying opaque surface geometry, and offers just as fast access as trees, at a fraction of the memory consumption. While 1 bit per leaf node implies a lowest memory consumption of 1 bit per occupied voxel in a tree, the sparse voxel DAG repeatedly achieves much lower memory consumptions, e.g., 0.08 bits per voxel. The sparse voxel DAG is not just a single data layout for a single purpose, but a way of encoding coherence in voxel grids. The thesis shows that the limits of tree representations are not the fundamental, nor the practical, limits of how efficiently voxel grids can be represented and used, and advances the limit of grid resolutions to be considered practical in real-time rendering.

Geometry

Shadows

Data structures

Tree

Visibility

Grid

Voxel

Directed acyclic graph

Computer graphics

EA
Opponent: Prof. Dr. Elmar Eisemann

Författare

Viktor Kämpe

Chalmers, Data- och informationsteknik, Datorteknik

High Resolution Sparse Voxel DAGs

ACM Transactions on Graphics,; Vol. 32(2013)

Artikel i vetenskaplig tidskrift

Exploiting coherence in time-varying voxel data

Proceedings of the 20th ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games,; (2016)p. 15-21

Paper i proceeding

Compact Precomputed Voxelized Shadows

ACM Transactions on Graphics,; Vol. 33(2014)

Artikel i vetenskaplig tidskrift

Fast, Memory-Efficient Construction of Voxelized Shadows

Proceedings of the 19th Symposium on Interactive 3D Graphics and Games (I3D 2015),; (2015)p. 25-30

Paper i proceeding

Ämneskategorier

Datorteknik

ISBN

978-91-7597-447-7

Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 4128

Technical report D - Department of Computer Science and Engineering, Chalmers University of Technology and Göteborg University: 133

EA

Opponent: Prof. Dr. Elmar Eisemann