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Visualizing the Phase Space of Heterogeneous Inertial Particles in 2D Flows

COMPUTER GRAPHICS FORUM 2018年第3期37卷 289-300页

作者： Rojo, Irene Baeza Gross, Markus Guenther, Tobias Swiss Fed Inst Technol Comp Graph Lab Zurich Switzerland

In many scientific disciplines, the motion of finite-sized objects in fluid flows plays an important role, such as in brownout engineering, sediment transport, oceanology or meteorology. These finite-sized objects are called inertial particles and, in contrast to traditional tracer particles, their motion depends on their current position, their own particle velocity, the time and their size. Thus, the visualization of their motion becomes a high-dimensional problem that entails computational and perceptual challenges. So far, no visualization explored and visualized the particle trajectories under variation of all seeding parameters. In this paper, we propose three coordinated views that visualize the different aspects of the high-dimensional space in which the particles live. We visualize the evolution of particles over time, showing that particles travel different distances in the same time, depending on their size. The second view provides a clear illustration of the trajectories of different particle sizes and allows the user to easily identify differences due to particle size. Finally, we embed the trajectories in the space-velocity domain and visualize their distance to an attracting manifold using ribbons. In all views, we support interactive linking and brushing, and provide abstraction through density volumes that are shown by direct volume rendering and isosurface slabs. Using our method, users gain deeper insights into the dynamics of inertial particles in 2D fluids, including size-dependent separation, preferential clustering and attraction. We demonstrate the effectiveness of our method in multiple steady and unsteady 2D flows.

关键词： CCS Concepts •human‐centered computing → scientific visualization

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DimSUM: Dimension and Scale Unifying Map for Visual Abstraction of DNA Origami Structures

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COMPUTER GRAPHICS FORUM 2018年第3期37卷 403-413页

作者： Miao, H. De Llano, E. Isenberg, T. Groeller, M. E. Barisic, I. Viola, I. TU Wien Vienna Austria Austrian Inst Technol Seibersdorf Austria Inria Paris France Univ Paris Saclay Paris France VRVis Res Ctr Graz Austria

We present a novel visualization concept for DNA origami structures that integrates a multitude of representations into a Dimension and Scale Unifying Map (DimSUM). This novel abstraction map provides means to analyze, smoothly transition between, and interact with many visual representations of the DNA origami structures in an effective way that was not possible before. DNA origami structures are nanoscale objects, which are challenging to model in silico. In our holistic approach we seamlessly combine three-dimensional realistic shape models, two-dimensional diagrammatic representations, and ordered alignments in one-dimensional arrangements, with semantic transitions across many scales. To navigate through this large, two-dimensional abstraction map we highlight locations that users frequently visit for certain tasks and datasets. Particularly interesting viewpoints can be explicitly saved to optimize the workflow. We have developed DimSUM together with domain scientists specialized in DNA nanotechnology. In the paper we discuss our design decisions for both the visualization and the interaction techniques. We demonstrate two practical use cases in which our approach increases the specialists' understanding and improves their effectiveness in the analysis. Finally, we discuss the implications of our concept for the use of controlled abstraction in visualization in general.

关键词： CCS Concepts •human‐centered computing → scientific visualization visualization theory concepts and paradigms • Applied computing → Computational biology

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A General Illumination Model for Molecular visualization

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COMPUTER GRAPHICS FORUM 2018年第3期37卷 367-378页

作者： Hermosilla, P. Vazquez, P. Vinacua, A. Ropinski, T. Ulm Univ Visual Comp Grp Ulm Germany Univ Politecn Cataluna VIRVIG Grp Barcelona Spain

Several visual representations have been developed over the years to visualize molecular structures, and to enable a better understanding of their underlying chemical processes. Today, the most frequently used atom-based representations are the Space-filling, the Solvent Excluded Surface, the Balls-and-Sticks, and the Licorice models. While each of these representations has its individual benefits, when applied to large-scale models spatial arrangements can be difficult to interpret when employing current visualization techniques. In the past it has been shown that global illumination techniques improve the perception of molecular visualizations;unfortunately existing approaches are tailored towards a single visual representation. We propose a general illumination model for molecular visualization that is valid for different representations. With our illumination model, it becomes possible, for the first time, to achieve consistent illumination among all atom-based molecular representations. The proposed model can be further evaluated in real-time, as it employs an analytical solution to simulate diffuse light interactions between objects. To be able to derive such a solution for the rather complicated and diverse visual representations, we propose the use of regression analysis together with adapted parameter sampling strategies as well as shape parametrization guided sampling, which are applied to the geometric building blocks of the targeted visual representations. We will discuss the proposed sampling strategies, the derived illumination model, and demonstrate its capabilities when visualizing several dynamic molecules.

关键词： CCS Concepts •human‐centered computing → scientific visualization •computing methodologies → Computer graphics Rendering

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An Approximate Parallel Vectors Operator for Multiple Vector Fields

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COMPUTER GRAPHICS FORUM 2018年第3期37卷 315-326页

作者： Gerrits, Tim Roessl, Christian Theisel, Holger Univ Magdeburg Visual Comp Grp Magdeburg Germany

The Parallel Vectors (PV) Operator extracts the locations of points where two vector fields are parallel. In general, these features are line structures. The PV operator has been used successfully for a variety of problems, which include finding vortex-core lines or extremum lines. We present a new generic feature extraction method for multiple 3D vector fields: The Approximate Parallel Vectors (APV) Operator extracts lines where all fields are approximately parallel. The definition of the APV operator is based on the application of PV for two vector fields that are derived from the given set of fields. The APV operator enables the direct visualization of features of vector field ensembles without processing fields individually and without causing visual clutter. We give a theoretical analysis of the APV operator and demonstrate its utility for a number of ensemble data.

关键词： CCS Concepts •human‐centered computing → scientific visualization

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