A memory efficient encoding for ray tracing large unstructured data

I Wald, N Morrical, S Zellmann - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In theory, efficient and high-quality rendering of unstructured data should greatly benefit from
modern GPUs, but in practice, GPUs are often limited by the large amount of memory that …

State‐of‐the‐art in Large‐Scale Volume Visualization Beyond Structured Data

J Sarton, S Zellmann, S Demirci… - Computer Graphics …, 2023 - Wiley Online Library
Volume data these days is usually massive in terms of its topology, multiple fields, or
temporal component. With the gap between compute and memory performance widening …

Topological access methods for spatial and spatiotemporal data

MW Jahn, PE Bradley - ISPRS International Journal of Geo-Information, 2022 - mdpi.com
In order to perform topological queries on geographic data, it is necessary to first develop a
topological access method (TOAM). Using the fact that any (incidence or other binary) …

Compact tetrahedralization-based acceleration structures for ray tracing

A Aman, S Demirci, U Güdükbay - Journal of Visualization, 2022 - Springer
We propose compact and efficient tetrahedral mesh representations to improve the ray-
tracing performance. We reorder tetrahedral mesh data using a space-filling curve to …

The Stellar decomposition: A compact representation for simplicial complexes and beyond

R Fellegara, K Weiss, L De Floriani - Computers & Graphics, 2021 - Elsevier
We introduce the Stellar decomposition, a model for efficient topological data structures over
a broad range of simplicial and cell complexes. A Stellar decomposition of a complex is a …

[PDF][PDF] A Complete Bibliography of ACM Transactions on Spatial Algorithms and Systems (TSAS)

NHF Beebe - 2024 - ctan.math.utah.edu
A Complete Bibliography of ACM Transactions on Spatial Algorithms and Systems (TSAS)
Page 1 A Complete Bibliography of ACM Transactions on Spatial Algorithms and Systems (TSAS) …

[引用][C] Shape Modeling and Understanding at the University of Genova

L De Floriani, P Magillo, E Puppo, D Canino