G
Guido Reina
Researcher at University of Stuttgart
Publications - 93
Citations - 1136
Guido Reina is an academic researcher from University of Stuttgart. The author has contributed to research in topics: Visualization & Rendering (computer graphics). The author has an hindex of 16, co-authored 76 publications receiving 944 citations.
Papers
More filters
Journal ArticleDOI
MegaMol—A Prototyping Framework for Particle-Based Visualization
TL;DR: The system softwareMegaMol is developed, designed as a development framework, for visualization research on particle-based data and presents several case studies of work implemented using it as well as a comparison to other freely available or open source systems.
Proceedings ArticleDOI
Hardware-accelerated glyphs for mono- and dipoles in molecular dynamics visualization
Guido Reina,Thomas Ertl +1 more
TL;DR: A novel visualization method for mono- and dipolar molecular simulations from thermodynamics that takes advantage of modern graphics hardware to interactively render specifically tailored glyphs that enable researchers to visually assess the results of simulations of greater scale than before is presented.
Journal ArticleDOI
Coherent culling and shading for large molecular dynamics visualization
TL;DR: This paper employs several optimization strategies on different levels of granularity, such as data quantization, data caching in video memory, and a two‐level occlusions culling strategy: coarse culling via hardware occlusion queries and a vertex‐level culling using maximum depth mipmaps.
Book ChapterDOI
Immersive Analytics: Time to Reconsider the Value of 3D for Information Visualisation
Kim Marriott,Jian Chen,Marcel Hlawatsch,Takayuki Itoh,Miguel A. Nacenta,Guido Reina,Wolfgang Stuerzlinger +6 more
TL;DR: This chapter explores whether immersive analytic applications should continue to use traditional 2D information visualisations or whether there are situations when 3D may offer benefits, and identifies a number of potential applications of 3D depth cues for abstract data visualisation.
Journal ArticleDOI
Visual Verification and Analysis of Cluster Detection for Molecular Dynamics
TL;DR: A framework capable of interactively visualizing molecular datasets of such nucleation simulations is presented, with an emphasis on the detected molecular clusters, and introduces the concept of flow groups to highlight potential cluster evolution over time which is not detected by the employed algorithm.