2018
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[Bibtex] @ARTICLE {Magnus-2018-VPI,
author = "Jens G. Magnus and Stefan Bruckner",
title = "Interactive Dynamic Volume Illumination with Refraction and Caustics",
journal = "IEEE Transactions on Visualization and Computer Graphics",
year = "2018",
volume = "24",
number = "1",
pages = "984--993",
month = "jan",
abstract = "In recent years, significant progress has been made in
developing high-quality interactive methods for realistic volume
illumination. However, refraction -- despite being an important aspect
of light propagation in participating media -- has so far only received
little attention. In this paper, we present a novel approach for
refractive volume illumination including caustics capable of interactive
frame rates. By interleaving light and viewing ray propagation, our
technique avoids memory-intensive storage of illumination information
and does not require any precomputation. It is fully dynamic and all
parameters such as light position and transfer function can be modified
interactively without a performance penalty.",
pdf = "pdfs/Magnus-2018-IDV.pdf",
images = "images/Magnus-2018-IDV.jpg",
thumbnails = "images/Magnus-2018-IDV.png",
youtube = "https://www.youtube.com/watch?v=3tn6sSXw4NQ",
doi = "10.1109/TVCG.2017.2744438",
event = "IEEE SciVis 2017",
keywords = "interactive volume rendering, illumination, refraction, shadows, caustics",
location = "Phoenix, USA"
}@ARTICLE {cnn-brush,
author = "Fan, Chaoran and Hauser, Helwig",
title = "{Fast and Accurate CNN-based Brushing in Scatterplots}",
journal = "Computer Graphics Forum (Eurovis 2018)",
year = "2018",
abstract = "Brushing plays a central role in most modern visual analytics solutions and effective and efficient techniques for data selection are key to establishing a successful human-computer dialogue. With this paper, we address the need for brushing techniques that are both fast, enabling a fluid interaction in visual data exploration and analysis, and also accurate, i.e., enabling the user to effectively select specific data subsets, even when their geometric delimination is non-trivial. We present a new solution for a near-perfect sketch-based brushing technique, where we exploit a convolutional neural network (CNN) for estimating the intended data selection from a fast and simple click-and-drag interaction and from the data distribution in the visualization. Our key contributions include a drastically reduced error rate-now below 3%, i.e., less than half of the so far best accuracy- and an extension to a larger variety of selected data subsets, going beyond previous limitations due to linear estimation models.",
pdf = "pdfs/eurovis18.pdf",
images = "images/cnn.png",
thumbnails = "images/cnn.png",
publisher = "The Eurographics Association and John Wiley & Sons Ltd.",
issn = "1467-8659",
doi = "10.1111/cgf.13405"
}@INPROCEEDINGS {Stoppel-2018-SSW,
author = "Sergej Stoppel and Stefan Bruckner",
title = "Smart Surrogate Widgets for Direct Volume Manipulation",
booktitle = "Proceedings of IEEE PacificVis 2018",
year = "2018",
pages = "36--45",
month = "apr",
abstract = "Interaction is an essential aspect in volume visualization, yet common
manipulation tools such as bounding boxes or clipping plane
widgets provide rather crude tools as they neglect the complex structure
of the underlying data. In this paper, we introduce a novel
volume interaction approach based on smart widgets that are automatically
placed directly into the data in a visibility-driven manner.
By adapting to what the user actually sees, they act as proxies that
allow for goal-oriented modifications while still providing an intuitive
set of simple operations that is easy to control. In particular, our
method is well-suited for direct manipulation scenarios such as touch
screens, where traditional user interface elements commonly exhibit
limited utility. To evaluate out approach we conducted a qualitative
user study with nine participants with various backgrounds.",
pdf = "pdfs/Stoppel-2018-SSW.pdf",
images = "images/Stoppel-2018-SSW.jpg",
thumbnails = "images/Stoppel-2018-SSW.png",
youtube = "https://www.youtube.com/watch?v=wMRw-W0SrLk",
event = "IEEE PacificVis 2018",
keywords = "smart interfaces, volume manipulation, volume visualization",
doi = "10.1109/PacificVis.2018.00014"
}@ARTICLE {lichtenbergsmithansenlawonn2018,
author = "Nils Lichtenberg and Noeska Smit and Christian Hansen and Kai Lawonn",
title = "Real-time field aligned stripe patterns",
journal = "Computers & Graphics",
year = "2018",
volume = "74",
pages = "137-149",
month = "aug",
abstract = "In this paper, we present a parameterization technique that can be applied to surface meshes in real-time without time-consuming preprocessing steps. The parameterization is suitable for the display of (un-)oriented patterns and texture patches, and to sample a surface in a periodic fashion. The method is inspired by existing work that solves a global optimization problem to generate a continuous stripe pattern on the surface, from which texture coordinates can be derived. We propose a local optimization approach that is suitable for parallel execution on the GPU, which drastically reduces computation time. With this, we achieve on-the-fly texturing of 3D, medium-sized (up to 70k vertices) surface meshes. The algorithm takes a tangent vector field as input and aligns the texture coordinates to it. Our technique achieves real-time parameterization of the surface meshes by employing a parallelizable local search algorithm that converges to a local minimum in a few iterations. The calculation in real-time allows for live parameter updates and determination of varying texture coordinates. Furthermore, the method can handle non-manifold meshes. The technique is useful in various applications, e.g., biomedical visualization and flow visualization. We highlight our method\s potential by providing usage scenarios for several applications.
A PDF of the accepted manuscript is available via noeskasmit.com/wp-content/uploads/2018/08/lichtenberg_2018.pdf.",
pdf = "pdfs/lichtenberg_2018.pdf",
images = "images/Selection_384.png",
thumbnails = "images/1-s2.0-S0097849318300591-fx1_lrg.jpg",
youtube = "https://www.youtube.com/watch?v=7CpkHy8KPK8",
project = "ttmedvis"
}@ARTICLE {Bruckner-2018-MSD,
author = "Stefan Bruckner and Tobias Isenberg and Timo Ropinski and Alexander Wiebel",
title = "A Model of Spatial Directness in Interactive Visualization",
journal = "IEEE Transactions on Visualization and Computer Graphics (accepted for publication, to appear in an upcoming issue)",
year = "2018",
abstract = "We discuss the concept of directness in the context of spatial interaction with visualization. In particular, we propose a model
that allows practitioners to analyze and describe the spatial directness of interaction techniques, ultimately to be able to better understand
interaction issues that may affect usability. To reach these goals, we distinguish between different types of directness. Each type of
directness depends on a particular mapping between different spaces, for which we consider the data space, the visualization space, the
output space, the user space, the manipulation space, and the interaction space. In addition to the introduction of the model itself, we also
show how to apply it to several real-world interaction scenarios in visualization, and thus discuss the resulting types of spatial directness,
without recommending either more direct or more indirect interaction techniques. In particular, we will demonstrate descriptive and
evaluative usage of the proposed model, and also briefly discuss its generative usage.",
pdf = "pdfs/Bruckner-2018-MSD.pdf",
images = "images/Bruckner-2018-MSD.jpg",
thumbnails = "images/Bruckner-2018-MSD.png"
} [Bibtex]
@ARTICLE {Furmanova2018COZOID,
author = "Furmanov{\'a}, Katar{\'\i}na and By{\v{s}}ka, Jan and Gr{\"o}ller, Eduard M and Viola, Ivan and Pale{\v{c}}ek, Jan J and Kozl{\'i}kov{\'a}, Barbora",
title = "COZOID: contact zone identifier for visual analysis of protein-protein interactions",
journal = "BMC bioinformatics",
year = "2018"
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