EG 2020 - Posters

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https://diglib.eg.org/handle/10.2312/2632886

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Browsing EG 2020 - Posters by Subject "Computing methodologies"

Now showing 1 - 3 of 3
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    Fabric Appearance Benchmark
    (The Eurographics Association, 2020) Merzbach, Sebastian; Klein, Reinhard; Ritschel, Tobias and Eilertsen, Gabriel
    Appearance modeling is a difficult problem that still receives considerable attention from the graphics and vision communities. Though recent years have brought a growing number of high-quality material databases that have sparked new research, there is a general lack of evaluation benchmarks for performance assessment and fair comparisons between competing works. We therefore release a new dataset and pose a public challenge that will enable standardized evaluations. For this we measured 56 fabric samples with a commercial appearance scanner. We publish the resulting calibrated HDR images, along with baseline SVBRDF fits. The challenge is to recreate, under known light and view sampling, the appearance of a subset of unseen images. User submissions will be automatically evaluated and ranked by a set of standard image metrics.
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    GPU-Accelerated Generation of the Molecular Surface
    (The Eurographics Association, 2020) Alhazzazi, Mousa; Hayward, Steven; Laycock, Stephen D.; Ritschel, Tobias and Eilertsen, Gabriel
    A variety of visualisation methods have been developed for displaying molecular structures. The solvent-excluded surface (SES) or molecular surface is one of the most popular and useful depictions as it helps to identify binding-site cavities. The molecular surface is particularly useful therefore for interactive molecular docking tools. Docking tools that incorporate molecular flexibility bring new challenges as the molecular surface must be recomputed in real time as the molecule changes shape in interaction with a ligand. Here we compute the SES by using a GPU-accelerated Marching Cubes algorithm which promises to lead to real-time surface generation for small- to medium-sized biomolecules undergoing conformational change.
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    Integrating Local Collision Avoidance with Shortest Path Maps
    (The Eurographics Association, 2020) Sharma, Ritesh; Farias, Renato; Kallmann, Marcelo; Ritschel, Tobias and Eilertsen, Gabriel
    The effective integration of local collision avoidance with global path planning becomes a necessity when multi-agent systems need to be simulated in complex cluttered environments. This work presents our first results exploring the new approach of integrating Shortest Path Maps (SPMs) with local collision avoidance in order to provide optimal paths for agents to navigate around obstacles toward their goal locations. Our GPU-based SPM implementation is available.