EGPGV24: Eurographics Symposium on Parallel Graphics and Visualization

Permanent URI for this collection

https://diglib.eg.org/handle/10.2312/3606992

Browse

Browsing EGPGV24: Eurographics Symposium on Parallel Graphics and Visualization by Subject "Human centered computing → Scientific visualization"

Now showing 1 - 2 of 2
  • No Thumbnail Available
    Item
    Efficient Adaptive Multiresolution Aggregations of Spatio-temporal Ensembles
    (The Eurographics Association, 2024) Borrelli, Gabriel; Evers, Marina; Linsen, Lars; Reina, Guido; Rizzi, Silvio
    Spatio-temporal ensemble data consist of several simulation runs with multiple spatial and a temporal dimension, where the runs are obtained using different parameter settings or initial conditions for the simulation. During analysis, one is interested in investigating the different facets of space, time, and parameter values. When globally analyzing some facet(s), others shall be aggregated to generate summary visualizations. Due to the large amount of data that an ensemble consists of, one may want to generate summary visualizations at multiple levels of detail. Wavelet transforms are a well-known concept for efficiently switching between multiple resolutions. We propose to extend this concept to ensemble data, where individual facets may be aggregated adaptively. We present how to apply the scheme for any data sizes to generate correct averages even when the number of samples is not a power of two in each dimension. We further develop an out-of-core strategy to handle large data sizes. Our scheme is coupled with common 1D, 2D, and 3D visualization methods for an interactive visual analysis of the ensemble data.
  • No Thumbnail Available
    Item
    Fast Rendering of Parametric Objects on Modern GPUs
    (The Eurographics Association, 2024) Unterguggenberger, Johannes; Lipp, Lukas; Wimmer, Michael; Kerbl, Bernhard; Schütz, Markus; Reina, Guido; Rizzi, Silvio
    Parametric functions are an extremely efficient representation for 3D geometry, capable of compactly modelling highly complex objects. Once specified, parametric 3D objects allow for visualization at arbitrary levels of detail, at no additional memory cost, limited only by the amount of evaluated samples. However, mapping the sample evaluation to the hardware rendering pipelines of modern graphics processing units (GPUs) is not trivial. This has given rise to several specialized solutions, each targeting interactive rendering of a constrained set of parametric functions. In this paper, we propose a general method for efficient rendering of parametrically defined 3D objects. Our solution is carefully designed around modern hardware architecture. Our method adaptively analyzes, allocates and evaluates parametric function samples to produce high-quality renderings. Geometric precision can be modulated from few pixels down to sub-pixel level, enabling real-time frame rates of several 100 frames per second (FPS) for various parametric functions. We propose a dedicated level-of-detail (LOD) stage, which outputs patches of similar geometric detail to a subsequent rendering stage that uses either a hardware tessellation-based approach or performs point-based softare rasterization. Our method requires neither preprocessing nor caching, and the proposed LOD mechanism is fast enough to run each frame. Hence, our approach also lends itself to animated parametric objects. We demonstrate the benefits of our method over a state-of-the-art spherical harmonics (SH) glyph rendering method, while showing its flexibility on a range of other demanding shapes.