Decal-Maps: Real-Time Layering of Decals on Surfaces for Multivariate Visualization

Rocha, Alessandro Rodrigues; Alim, Usman R.; Silva, Julio Daniel; Sousa, Mário Costa

doi:10.1109/tvcg.2016.2598866

Cited by 20 publications

(44 citation statements)

References 44 publications

(84 reference statements)

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“…It is a common approach, for example, in creating maps. In visualization, this principle has been used in the past (e. g., [10,23,49,50]), typically applying some form of transparency to be able to perceive the different layers. Transparency, however, can easily lead to visualizations that are difficult to understand [9].…”

Section: Visual Embedding Of Conceptual Scalesmentioning

confidence: 99%

Scale Trotter: Illustrative Visual Travels Across Negative Scales

Halladjian

Miao

Kouril

et al. 2020

IEEE Trans. Visual. Comput. Graphics

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NucleusChromosomes Chromosomes with detail Nucleosomes Nucleotides Atoms Fibers Fig. 1. Steps along the voyage into the genomic detail as enabled by ScaleTrotter, showing the semantic scale levels. ScaleTrotter and its visual embedding allow us to seamlessly transition between independent representations and interactively explore them.Abstract-We present ScaleTrotter, a conceptual framework for an interactive, multi-scale visualization of biological mesoscale data and, specifically, genome data. ScaleTrotter allows viewers to smoothly transition from the nucleus of a cell to the atomistic composition of the DNA, while bridging several orders of magnitude in scale. The challenges in creating an interactive visualization of genome data are fundamentally different in several ways from those in other domains like astronomy that require a multi-scale representation as well. First, genome data has intertwined scale levels-the DNA is an extremely long, connected molecule that manifests itself at all scale levels. Second, elements of the DNA do not disappear as one zooms out-instead the scale levels at which they are observed group these elements differently. Third, we have detailed information and thus geometry for the entire dataset and for all scale levels, posing a challenge for interactive visual exploration. Finally, the conceptual scale levels for genome data are close in scale space, requiring us to find ways to visually embed a smaller scale into a coarser one. We address these challenges by creating a new multi-scale visualization concept. We use a scale-dependent camera model that controls the visual embedding of the scales into their respective parents, the rendering of a subset of the scale hierarchy, and the location, size, and scope of the view. In traversing the scales, ScaleTrotter is roaming between 2D and 3D visual representations that are depicted in integrated visuals. We discuss, specifically, how this form of multi-scale visualization follows from the specific characteristics of the genome data and describe its implementation. Finally, we discuss the implications of our work to the general illustrative depiction of multi-scale data.

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Section: Visual Embedding Of Conceptual Scalesmentioning

confidence: 99%

Scale Trotter: Illustrative Visual Travels Across Negative Scales

Halladjian

Miao

Kouril

et al. 2020

IEEE Trans. Visual. Comput. Graphics

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“…Although our tool was rated with positive feedback, we identified several aspects that might be improved. First, for the kites and scatterplots we would like to incorporate the approach by Rocha et al [RASS17]. Their method draws 2D glyphs directly on the surface instead of using a quad.…”

Section: Discussionmentioning

confidence: 99%

Glyph‐Based Comparative Stress Tensor Visualization in Cerebral Aneurysms

Meuschke

Voß²,

Beuing

et al. 2017

Computer Graphics Forum

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We present the first visualization tool that enables a comparative depiction of structural stress tensor data for vessel walls of cerebral aneurysms. Such aneurysms bear the risk of rupture, whereas their treatment also carries considerable risks for the patient. Medical researchers emphasize the importance of analyzing the interaction of morphological and hemodynamic information for the patient‐specific rupture risk evaluation and treatment analysis. Tensor data such as the stress inside the aneurysm walls characterizes the interplay between the morphology and blood flow and seems to be an important rupture‐prone criterion. We use different glyph‐based techniques to depict local stress tensors simultaneously and compare their applicability to cerebral aneurysms in a user study. We thus offer medical researchers an effective visual exploration tool to assess the aneurysm rupture risk. We developed a GPU‐based implementation of our techniques with a flexible interactive data exploration mechanism. Our depictions are designed in collaboration with domain experts, and we provide details about the evaluation.

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“…In the context of visualization of multivariate, geological data, Rocha et. al [RASS17] introduced a new technique called Decal‐Maps. It maps two‐dimensional texture quads onto an arbitrary curved surface, which evades the clipping and detachment problems of the default quad‐based placement of glyphs on such surfaces.…”

Section: Related Workmentioning

confidence: 99%

Fiber Surfaces for many Variables

Blecha

Raith

Prager

et al. 2020

Computer Graphics Forum

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Scientific visualization deals with increasingly complex data consisting of multiple fields. Typical disciplines generating multivariate data are fluid dynamics, structural mechanics, geology, bioengineering, and climate research. Quite often, scientists are interested in the relation between some of these variables. A popular visualization technique for a single scalar field is the extraction and rendering of isosurfaces. With this technique, the domain can be split into two parts, i.e. a volume with higher values and one with lower values than the selected isovalue. Fiber surfaces generalize this concept to two or three scalar variables up to now. This article extends the notion further to potentially any finite number of scalar fields. We generalize the fiber surface extraction algorithm of Raith et al. [RBN∗19] from 3 to d dimensions and demonstrate the technique using two examples from geology and climate research. The first application concerns a generic model of a nuclear waste repository and the second one an atmospheric simulation over central Europe. Both require complex simulations which involve multiple physical processes. In both cases, the new extended fiber surfaces helps us finding regions of interest like the nuclear waste repository or the power supply of a storm due to their characteristic properties.

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Decal-Maps: Real-Time Layering of Decals on Surfaces for Multivariate Visualization

Cited by 20 publications

References 44 publications

Scale Trotter: Illustrative Visual Travels Across Negative Scales

Scale Trotter: Illustrative Visual Travels Across Negative Scales

Glyph‐Based Comparative Stress Tensor Visualization in Cerebral Aneurysms

Fiber Surfaces for many Variables

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