VMV13

Permanent URI for this collection


Integrated Multi-aspect Visualization of 3D Fluid Flows

Brambilla, Andrea
Andreassen, Øyvind
Hauser, Helwig

Expressive Spectral Error Visualization for Enhanced Spectral Unmixing

Labitzke, Björn
Urrigshardt, Frank
Kolb, Andreas

Local Extraction of Bifurcation Lines

Machado, Gustavo M.
Sadlo, Filip
Ertl, Thomas

Evaluating the Perceptual Impact of Rendering Techniques on Thematic Color Mappings in 3D Virtual Environments

Engel, Juri
Semmo, Amir
Trapp, Matthias
Döllner, Jürgen

Audio Resynthesis on the Dancefloor: A Music Structural Approach

Tauscher, Jan-Philipp
Wenger, Stephan
Magnor, Marcus

Simulation of Time-of-Flight Sensors using Global Illumination

Meister, Stephan
Nair, Rahul
Kondermann, Daniel

Transfusive Weights for Content-Aware Image Manipulation

Yücer, Kaan
Sorkine-Hornung, Alexander
Sorkine-Hornung, Olga

Mobile Image Retargeting

Graf, Daniel
Panozzo, Daniele
Sorkine-Hornung, Olga

A Tracking Approach for the Skeletonization of Tubular Parts of 3D Shapes

Garro, Valeria
Giachetti, Andrea

3D Shape Cropping

Franco, Jean-Sebastien
Petit, Benjamin
Boyer, Edmond

A Thin Shell Approach to the Registration of Implicit Surfaces

Iglesias, Jose A.
Berkels, Benjamin
Rumpf, Martin
Scherzer, Otmar

Cloth-Fluid Contact

Huber, Markus
Eberhardt, Bernhard
Weiskopf, Daniel

Parallelized Global Brain Tractography

Philips, Stefan
Hlawitschka, Mario
Scheuermann, Gerik

Interactive Comparative Visualization of Multimodal Brain Tumor Segmentation Data

Lindemann, Florian
Laukamp, Kai
Jacobs, Andreas H.
Hinrichs, Klaus

A Semi-Automated Method for Subject-Specific Modeling of the Spinal Canal from Computed Tomography Images and Dynamic Radiographs

Haque, Md. Abedul
Marai, G. Elisabeta

Adaptive Surface Visualization of Vessels with Embedded Blood Flow Based on the Suggestive Contour Measure

Lawonn, Kai
Gasteiger, Rocco
Preim, Bernhard

Visualization and Analysis of Lumbar Spine Canal Variability in Cohort Study Data

Klemm, Paul
Lawonn, Kai
Rak, Marko
Preim, Bernhard
Toennies, Klaus
Hegenscheid, Katrin
Völzke, Henry
Oeltze, Steffen

Closed-Form Hierarchical Finite Element Models for Part-Based Object Detection

Rak, Marko
Engel, Karin
Tönnies, Klaus D.

A New Framework for Fitting Shape Models to Range Scans: Local Statistical Shape Priors Without Correspondences

Last, Carsten
Winkelbach, Simon
Wahl, Friedrich M.

Epipolar Plane Image Refocusing for Improved Depth Estimation and Occlusion Handling

Diebold, Maximilian
Goldluecke, Bastian

Geometric Point Light Source Calibration

Ackermann, Jens
Fuhrmann, Simon
Goesele, Michael

Non-Sampled Anti-Aliasing

Auzinger, Thomas
Musialski, Przemyslaw
Preiner, Reinhold
Wimmer, Michael

Illustrative Rendering of Particle Systems

Chandler, Jennifer
Obermaier, Harald
Joy, Kenneth I.

Image Based Rendering from Perspective and Orthographic Images for Autostereoscopic Multi-View Displays

Jung, Daniel
Koch, Reinhard

Interactive Direct Volume Rendering with Many-light Methods and Transmittance Caching

Weber, Christoph
Kaplanyan, Anton S.
Stamminger, Marc
Dachsbacher, Carsten

Progressive Visibility Caching for Fast Indirect Illumination

Ulbrich, Justus
Novák, Jan
Rehfeld, Hauke
Dachsbacher, Carsten

Optimising Aperture Shapes for Depth Estimation

Sellent, Anita
Favaro, Paolo

Fine-Scale Editing of Continuous Volumes using Adaptive Surfaces

Ruhl, Kai
Wenger, Stephan
Franke, Dennis
Saretzki, Julius
Magnor, Marcus

Level of Detail for Real-Time Volumetric Terrain Rendering

Scholz, Manuel
Bender, Jan
Dachsbacher, Carsten

Sampled and Analytic Rasterization

Auzinger, Thomas
Wimmer, Michael

Datasets and Benchmarks for Densely Sampled 4D Light Fields

Wanner, Sven
Meister, Stephan
Goldluecke, Bastian

Towards Multi-Kernel Ray Tracing for GPUs

Schiffer, Thomas
Fellner, Dieter W.

Dynamic Time Warping Based 3D Contours

Croci, Simone
Smolic, Aljoscha
Wang, Oliver

Visualizing Dissections of the Heart in a Dataflow-based Shader Framework for Volume Rendering

Arens, Stephan
Bolte, Matthias
Domik, Gitta


BibTeX (VMV13)
@inproceedings{
:10.2312/PE.VMV.VMV13.001-009,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
Integrated Multi-aspect Visualization of 3D Fluid Flows}},
author = {
Brambilla, Andrea
and
Andreassen, Øyvind
and
Hauser, Helwig
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.001-009}
}
@inproceedings{
:10.2312/PE.VMV.VMV13.009-016,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
Expressive Spectral Error Visualization for Enhanced Spectral Unmixing}},
author = {
Labitzke, Björn
and
Urrigshardt, Frank
and
Kolb, Andreas
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.009-016}
}
@inproceedings{
:10.2312/PE.VMV.VMV13.017-024,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
Local Extraction of Bifurcation Lines}},
author = {
Machado, Gustavo M.
and
Sadlo, Filip
and
Ertl, Thomas
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.017-024}
}
@inproceedings{
:10.2312/PE.VMV.VMV13.025-032,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
Evaluating the Perceptual Impact of Rendering Techniques on Thematic Color Mappings in 3D Virtual Environments}},
author = {
Engel, Juri
and
Semmo, Amir
and
Trapp, Matthias
and
Döllner, Jürgen
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.025-032}
}
@inproceedings{
:10.2312/PE.VMV.VMV13.041-048,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
Audio Resynthesis on the Dancefloor: A Music Structural Approach}},
author = {
Tauscher, Jan-Philipp
and
Wenger, Stephan
and
Magnor, Marcus
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.041-048}
}
@inproceedings{
:10.2312/PE.VMV.VMV13.033-040,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
Simulation of Time-of-Flight Sensors using Global Illumination}},
author = {
Meister, Stephan
and
Nair, Rahul
and
Kondermann, Daniel
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.033-040}
}
@inproceedings{
:10.2312/PE.VMV.VMV13.057-064,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
Transfusive Weights for Content-Aware Image Manipulation}},
author = {
Yücer, Kaan
and
Sorkine-Hornung, Alexander
and
Sorkine-Hornung, Olga
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.057-064}
}
@inproceedings{
:10.2312/PE.VMV.VMV13.049-056,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
Mobile Image Retargeting}},
author = {
Graf, Daniel
and
Panozzo, Daniele
and
Sorkine-Hornung, Olga
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.049-056}
}
@inproceedings{
:10.2312/PE.VMV.VMV13.073-080,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
A Tracking Approach for the Skeletonization of Tubular Parts of 3D Shapes}},
author = {
Garro, Valeria
and
Giachetti, Andrea
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.073-080}
}
@inproceedings{
:10.2312/PE.VMV.VMV13.065-072,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
3D Shape Cropping}},
author = {
Franco, Jean-Sebastien
and
Petit, Benjamin
and
Boyer, Edmond
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.065-072}
}
@inproceedings{
:10.2312/PE.VMV.VMV13.089-096,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
A Thin Shell Approach to the Registration of Implicit Surfaces}},
author = {
Iglesias, Jose A.
and
Berkels, Benjamin
and
Rumpf, Martin
and
Scherzer, Otmar
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.089-096}
}
@inproceedings{
:10.2312/PE.VMV.VMV13.081-088,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
Cloth-Fluid Contact}},
author = {
Huber, Markus
and
Eberhardt, Bernhard
and
Weiskopf, Daniel
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.081-088}
}
@inproceedings{
:10.2312/PE.VMV.VMV13.097-104,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
Parallelized Global Brain Tractography}},
author = {
Philips, Stefan
and
Hlawitschka, Mario
and
Scheuermann, Gerik
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.097-104}
}
@inproceedings{
:10.2312/PE.VMV.VMV13.105-112,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
Interactive Comparative Visualization of Multimodal Brain Tumor Segmentation Data}},
author = {
Lindemann, Florian
and
Laukamp, Kai
and
Jacobs, Andreas H.
and
Hinrichs, Klaus
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.105-112}
}
@inproceedings{
:10.2312/PE.VMV.VMV13.129-136,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
A Semi-Automated Method for Subject-Specific Modeling of the Spinal Canal from Computed Tomography Images and Dynamic Radiographs}},
author = {
Haque, Md. Abedul
and
Marai, G. Elisabeta
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.129-136}
}
@inproceedings{
:10.2312/PE.VMV.VMV13.113-120,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
Adaptive Surface Visualization of Vessels with Embedded Blood Flow Based on the Suggestive Contour Measure}},
author = {
Lawonn, Kai
and
Gasteiger, Rocco
and
Preim, Bernhard
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.113-120}
}
@inproceedings{
:10.2312/PE.VMV.VMV13.121-128,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
Visualization and Analysis of Lumbar Spine Canal Variability in Cohort Study Data}},
author = {
Klemm, Paul
and
Lawonn, Kai
and
Rak, Marko
and
Preim, Bernhard
and
Toennies, Klaus
and
Hegenscheid, Katrin
and
Völzke, Henry
and
Oeltze, Steffen
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.121-128}
}
@inproceedings{
:10.2312/PE.VMV.VMV13.137-144,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
Closed-Form Hierarchical Finite Element Models for Part-Based Object Detection}},
author = {
Rak, Marko
and
Engel, Karin
and
Tönnies, Klaus D.
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.137-144}
}
@inproceedings{
:10.2312/PE.VMV.VMV13.153-160,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
A New Framework for Fitting Shape Models to Range Scans: Local Statistical Shape Priors Without Correspondences}},
author = {
Last, Carsten
and
Winkelbach, Simon
and
Wahl, Friedrich M.
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.153-160}
}
@inproceedings{
:10.2312/PE.VMV.VMV13.145-152,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
Epipolar Plane Image Refocusing for Improved Depth Estimation and Occlusion Handling}},
author = {
Diebold, Maximilian
and
Goldluecke, Bastian
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.145-152}
}
@inproceedings{
:10.2312/PE.VMV.VMV13.161-168,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
Geometric Point Light Source Calibration}},
author = {
Ackermann, Jens
and
Fuhrmann, Simon
and
Goesele, Michael
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.161-168}
}
@inproceedings{
:10.2312/PE.VMV.VMV13.169-176,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
Non-Sampled Anti-Aliasing}},
author = {
Auzinger, Thomas
and
Musialski, Przemyslaw
and
Preiner, Reinhold
and
Wimmer, Michael
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.169-176}
}
@inproceedings{
:10.2312/PE.VMV.VMV13.177-185,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
Illustrative Rendering of Particle Systems}},
author = {
Chandler, Jennifer
and
Obermaier, Harald
and
Joy, Kenneth I.
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.177-185}
}
@inproceedings{
:10.2312/PE.VMV.VMV13.187-194,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
Image Based Rendering from Perspective and Orthographic Images for Autostereoscopic Multi-View Displays}},
author = {
Jung, Daniel
and
Koch, Reinhard
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.187-194}
}
@inproceedings{
:10.2312/PE.VMV.VMV13.195-202,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
Interactive Direct Volume Rendering with Many-light Methods and Transmittance Caching}},
author = {
Weber, Christoph
and
Kaplanyan, Anton S.
and
Stamminger, Marc
and
Dachsbacher, Carsten
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.195-202}
}
@inproceedings{
:10.2312/PE.VMV.VMV13.203-210,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
Progressive Visibility Caching for Fast Indirect Illumination}},
author = {
Ulbrich, Justus
and
Novák, Jan
and
Rehfeld, Hauke
and
Dachsbacher, Carsten
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.203-210}
}
@inproceedings{
:10.2312/PE.VMV.VMV13.219-220,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
Optimising Aperture Shapes for Depth Estimation}},
author = {
Sellent, Anita
and
Favaro, Paolo
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.219-220}
}
@inproceedings{
:10.2312/PE.VMV.VMV13.221-222,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
Fine-Scale Editing of Continuous Volumes using Adaptive Surfaces}},
author = {
Ruhl, Kai
and
Wenger, Stephan
and
Franke, Dennis
and
Saretzki, Julius
and
Magnor, Marcus
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.221-222}
}
@inproceedings{
:10.2312/PE.VMV.VMV13.211-218,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
Level of Detail for Real-Time Volumetric Terrain Rendering}},
author = {
Scholz, Manuel
and
Bender, Jan
and
Dachsbacher, Carsten
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.211-218}
}
@inproceedings{
:10.2312/PE.VMV.VMV13.223-224,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
Sampled and Analytic Rasterization}},
author = {
Auzinger, Thomas
and
Wimmer, Michael
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.223-224}
}
@inproceedings{
:10.2312/PE.VMV.VMV13.225-226,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
Datasets and Benchmarks for Densely Sampled 4D Light Fields}},
author = {
Wanner, Sven
and
Meister, Stephan
and
Goldluecke, Bastian
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.225-226}
}
@inproceedings{
:10.2312/PE.VMV.VMV13.227-228,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
Towards Multi-Kernel Ray Tracing for GPUs}},
author = {
Schiffer, Thomas
and
Fellner, Dieter W.
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.227-228}
}
@inproceedings{
:10.2312/PE.VMV.VMV13.229-230,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
Dynamic Time Warping Based 3D Contours}},
author = {
Croci, Simone
and
Smolic, Aljoscha
and
Wang, Oliver
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.229-230}
}
@inproceedings{
:10.2312/PE.VMV.VMV13.231-232,
booktitle = {
Vision, Modeling & Visualization},
editor = {
Michael Bronstein and Jean Favre and Kai Hormann
}, title = {{
Visualizing Dissections of the Heart in a Dataflow-based Shader Framework for Volume Rendering}},
author = {
Arens, Stephan
and
Bolte, Matthias
and
Domik, Gitta
}, year = {
2013},
publisher = {
The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {
/10.2312/PE.VMV.VMV13.231-232}
}

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Recent Submissions

Now showing 1 - 34 of 34
  • Item
    Integrated Multi-aspect Visualization of 3D Fluid Flows
    (The Eurographics Association, 2013) Brambilla, Andrea; Andreassen, Øyvind; Hauser, Helwig; Michael Bronstein and Jean Favre and Kai Hormann
    The motion of a fluid is affected by several intertwined flow aspects. Analyzing one aspect at a time can only yield partial information about the flow behavior. More details can be revealed by studying their interactions. Our approach enables the investigation of these interactions by simultaneously visualizing meaningful flow aspects, such as swirling motion and shear strain. We adopt the notions of relevance and coherency. Relevance identifies locations where a certain flow aspect is deemed particularly important. The related piece of information is visualized by a specific visual entity, placed at the corresponding location. Coherency instead represents the homogeneity of a flow property in a local neighborhood. It is exploited in order to avoid visual redundancy and to reduce occlusion and cluttering. We have applied our approach to three CFD datasets, obtaining meaningful insights.
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    Expressive Spectral Error Visualization for Enhanced Spectral Unmixing
    (The Eurographics Association, 2013) Labitzke, Björn; Urrigshardt, Frank; Kolb, Andreas; Michael Bronstein and Jean Favre and Kai Hormann
    A major issue in multispectral data analysis stems from the concept of spectral mixture analysis, i.e. the fact that a pixel does not cover only one material but corresponds to a mixture of materials. Even though many automatic methods for spectral unmixing exist, in many practical applications, domain experts have to verify the result and sometimes have to manually adjust the set of determined materials to achieve proper spectral reconstructions. In this paper, we propose an approach to enhance the very tedious and time-consuming task of manual verification of the unmixing and optional refinement of the materials. Our visual analysis approach comprises different techniques for an expressive spectral error visualization, efficiently guiding the user towards spectra in the dataset which are potentially missing materials. Here, combined views allow comprehensive, local and global error inspections in parallel. We present results of our proposed approach for two domains.
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    Local Extraction of Bifurcation Lines
    (The Eurographics Association, 2013) Machado, Gustavo M.; Sadlo, Filip; Ertl, Thomas; Michael Bronstein and Jean Favre and Kai Hormann
    We present local extraction of bifurcation lines together with extraction of their manifolds, a topological feature that has not yet been sufficiently recognized in scientific visualization. The bifurcation lines are extracted by a modification of the vortex core line extraction techniques due to Sujudi-Haimes, and Roth-Peikert, both formulated using the parallel vectors operator. While the former provides acceptable results only in configurations with high hyperbolicity and low curvature of the bifurcation lines, the latter operates only well in configurations with low hyperbolicity but is able to perform well with strong curvature of the bifurcation lines, however, with the drawback that it often fails to provide a solution. We present refinement of the solutions of the parallel vectors operator as a means to improve both criteria and, in particular, to refine the solutions of the Sujudi-Haimes criterion in cases where the Roth-Peikert criterion fails. We exemplify our technique on synthetic data, data from computational fluid dynamics, and on magnetohydrodynamics data. As a particularly interesting application, we demonstrate that our technique is able to extract saddle-type periodic orbits locally, and in case of high hyperbolicity at higher accuracy than traditional techniques based on integral curves.
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    Evaluating the Perceptual Impact of Rendering Techniques on Thematic Color Mappings in 3D Virtual Environments
    (The Eurographics Association, 2013) Engel, Juri; Semmo, Amir; Trapp, Matthias; Döllner, Jürgen; Michael Bronstein and Jean Favre and Kai Hormann
    Using colors for thematic mapping is a fundamental approach in visualization, and has become essential for 3D virtual environments to effectively communicate multidimensional, thematic information. Preserving depth cues within these environments to emphasize spatial relations between geospatial features remains an important issue. A variety of rendering techniques have been developed to preserve depth cues in 3D information visualization, including shading, global illumination, and image stylization. However, these techniques alter color values, which may lead to ambiguity in a color mapping and loss of information. Depending on the applied rendering techniques and color mapping, this loss should be reduced while still preserving depth cues when communicating thematic information. This paper presents the results of a quantitative and qualitative user study that evaluates the impact of rendering techniques on information and spatial perception when using visualization of thematic data in 3D virtual environments. We report the results of this study with respect to four perception-related tasks, showing significant differences in error rate and task completion time for different rendering techniques and color mappings.
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    Audio Resynthesis on the Dancefloor: A Music Structural Approach
    (The Eurographics Association, 2013) Tauscher, Jan-Philipp; Wenger, Stephan; Magnor, Marcus; Michael Bronstein and Jean Favre and Kai Hormann
    We propose a method for synthesizing a novel soundtrack from an existing musical piece while preserving its structure and continuity from a music theoretical point of view. Existing approaches analyze a musical piece for possible cut points that allow the resynthesis of a novel soundtrack by lining up the source segments according to specified rules but fail to maintain musically correct song progression. Introducing the alignment of rhythmic and harmonic structures during transition point detection, we employ beat tracking as the analysis core component and take the human sound perception into account. Automatic segment rearrangement is improved by employing a novel belief propagation approach that enables user-defined constraints for the output soundtrack, allowing video editors or dance choreographers to tailor a soundtrack to their specific demands.
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    Simulation of Time-of-Flight Sensors using Global Illumination
    (The Eurographics Association, 2013) Meister, Stephan; Nair, Rahul; Kondermann, Daniel; Michael Bronstein and Jean Favre and Kai Hormann
    Time-of-Flight (ToF) cameras use specialized sensors and modulated infrared light to simultaneously obtain depth, amplitude and intensity images. Depth images from such cameras suffer from various errors which exhibit a more complex behavior than traditional intensity images. Of these errors, the phenomenon of multi-reflection or multipath interference poses the biggest challenge to researchers. It is caused by indirect light paths between camera and light source and is therefore dependent on scene geometry. While simulated data can be used for ground truth evaluation and whitebox testing, current simulators do not model multipath effects. The method we present is capable of simulating all scene-dependant effects by taking global illumination into consideration. This is accomplished by modifying a bidirectional path tracing algorithm such that it takes the time-dependent propagation of modulated light in a scene into consideration. Furthermore, by combination of the proposed method with a previous hardware simulator we are capable of reproducing all effects in ToF cameras. The system was validated both on test targets with known real Time of Flight camera responses as well as qualitatively on a more complex room scene. The simulator as well as the source code is available at http://hci.iwr.uni-heidelberg.de/Benchmarks/.
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    Transfusive Weights for Content-Aware Image Manipulation
    (The Eurographics Association, 2013) Yücer, Kaan; Sorkine-Hornung, Alexander; Sorkine-Hornung, Olga; Michael Bronstein and Jean Favre and Kai Hormann
    Many image editing operations, such as colorization, matting or deformation, can be performed by propagating user-defined sparse constraints (e.g. scribbles) to the rest of the image using content-aware weight functions. Image manipulation has been recently extended to simultaneous editing of multiple images of the same subject or scene by precomputing dense correspondences, where the content-aware weights play a core role in defining the sub-pixel accurate image warps from source to target images. In this paper, we expand the range of applications for content-aware weights to the multi-image setting and improve the quality of the recently proposed weights and the matching framework. We show that multiple images of a subject can be used to refine the content-aware weights, and we propose a customization of the weights to enable easily-controllable interactive depth segmentation and assignment, image matting and deformation transfer, both in single- and multi-image settings.
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    Mobile Image Retargeting
    (The Eurographics Association, 2013) Graf, Daniel; Panozzo, Daniele; Sorkine-Hornung, Olga; Michael Bronstein and Jean Favre and Kai Hormann
    We propose an algorithm for axis-aligned content-aware image retargeting that is specifically optimized for mobile devices, and we show that interactive image retargeting is possible even with a low-power, mobile CPU. Our retargeting operator is based on non-uniform scaling and cropping and produces results that are on par with state-of-the-art on a large collection of images. Taking the limited screen space of mobile devices into account, we design a novel user interface that allows painting the saliency map directly onto the retargeted image while the system is continuously recomputing the retargeted result at interactive rates. Finally, we apply our algorithm in a picture gallery application to greatly improve the screen space utilization in mobile device settings.
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    A Tracking Approach for the Skeletonization of Tubular Parts of 3D Shapes
    (The Eurographics Association, 2013) Garro, Valeria; Giachetti, Andrea; Michael Bronstein and Jean Favre and Kai Hormann
    In this paper we propose a new simple and efficient method to characterize shapes by segmenting their elongated parts and characterizing them with their centerlines. We call it Tubular Section Tracking, because it consists of slicing the interested volume along different directions, tracking centroids of the extracted sections with approximately constant centroid position, area and eccentricity and refining the extracted lines with a post processing step removing bad branches and centering, joining and extending the relevant ones. We show that, even using just a few slicing directions (in some cases even just three perpendicular directions), the method is able to obtain good results, approximately pose independent and that the extracted lines can be more informative on the relevant feature of the objects than the classical skeletal lines extracted as subsets of the medial axis. Estimated lines can be used to segment shapes into meaningful parts and compute useful parameters (e.g. length, diameters).
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    3D Shape Cropping
    (The Eurographics Association, 2013) Franco, Jean-Sebastien; Petit, Benjamin; Boyer, Edmond; Michael Bronstein and Jean Favre and Kai Hormann
    We introduce shape cropping as the segmentation of a bounding geometry of an object as observed by sensors with different modalities. Segmenting a bounding volume is a preliminary step in many multi-view vision applications that consider or require the recovery of 3D information, in particular in multi-camera environments. Recent vision systems used to acquire such information often combine sensors of different types, usually color and depth sensors. Given depth and color images we present an efficient geometric algorithm to compute a polyhedral bounding surface that delimits the region in space where the object lies. The resulting cropped geometry eliminates unwanted space regions and enables the initialization of further processes including surface refinements. Our approach exploits the fact that such a region can be defined as the intersection of 3D regions identified as non empty in color or depth images. To this purpose, we propose a novel polyhedron combination algorithm that overcomes computational and robustness issues exhibited by traditional intersection tools in our context. We show the correction and effectiveness of the approach on various combination of inputs.
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    A Thin Shell Approach to the Registration of Implicit Surfaces
    (The Eurographics Association, 2013) Iglesias, Jose A.; Berkels, Benjamin; Rumpf, Martin; Scherzer, Otmar; Michael Bronstein and Jean Favre and Kai Hormann
    Frequently, one aims at the co-registration of geometries described implicitly by images as level sets. This paper proposes a novel shape sensitive approach for the matching of such implicit surfaces. Motivated by physical models of elastic shells a variational approach is proposed, which distinguishes two different types of energy contributions: a membrane energy measuring the rate of tangential distortion when deforming the reference surface into the template surface, and a bending energy reflecting the required amount of bending. The variational model is formulated via a narrow band approach. The built in tangential distortion energy leads to a suitable equidistribution of deformed length and area elements, under the optimal matching deformation, whereas the minimization of the bending energy fosters a proper matching of shape features such as crests, valleys or bumps. In the implementation, a spatial discretization via finite elements, a nonlinear conjugate gradient scheme with a Sobolev metric, and a cascadic multilevel optimization strategy are used. The features of the proposed method are discussed via applications both for synthetic and realistic examples.
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    Cloth-Fluid Contact
    (The Eurographics Association, 2013) Huber, Markus; Eberhardt, Bernhard; Weiskopf, Daniel; Michael Bronstein and Jean Favre and Kai Hormann
    We present a robust and efficient method for the two-way coupling between particle-based fluid simulations and infinitesimally thin solids represented by triangular meshes. Our approach is based on a hybrid method that combines a repulsion force approach with a continuous intersection handling to guarantee that no penetration occurs. Moreover, boundary conditions for the tangential component of the fluids velocity are implemented to model the no-slip boundary condition. The proposed method is particularly useful for dynamic surfaces, like cloth and thin shells. In addition, we demonstrate how standard fluid surface reconstruction algorithms can be modified to prevent the calculated surface from intersecting close objects. We have implemented our approach for the bidirectional interaction between liquid simulations based on Smoothed Particle Hydrodynamics (SPH) and standard mesh-based cloth simulation systems.
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    Parallelized Global Brain Tractography
    (The Eurographics Association, 2013) Philips, Stefan; Hlawitschka, Mario; Scheuermann, Gerik; Michael Bronstein and Jean Favre and Kai Hormann
    Most brain tractography algorithms suffer from lower accuracy, because they use only information in a certain neighborhood and reconstruct the tracts independently. Global brain tractography algorithms compensate the lack of accuracy of those local algorithms in certain areas by optimizing the whole tractogram. The global tractography approach by Reisert et al. showed the best results in the Fiber Cup contest, but the runtime is still a matter for a medical application. In this paper we present the non-trivial parallelization of this global tractography algorithm. The parallelization exploits properties of the algorithm and modifies the algorithm where necessary. We compare the runtimes of the serial and the parallel variant and show that the outcomes of the parallel variant are of the same quality as those of the serial algorithm. The experiments proof also that the parallelization scales well for real world datasets.
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    Interactive Comparative Visualization of Multimodal Brain Tumor Segmentation Data
    (The Eurographics Association, 2013) Lindemann, Florian; Laukamp, Kai; Jacobs, Andreas H.; Hinrichs, Klaus; Michael Bronstein and Jean Favre and Kai Hormann
    We present a visualization system for the analysis of multi-modal segmentation data of brain tumors. Our system is designed to allow researchers and doctors a further investigation of segmented tumor data beyond a quantitative assessment of size. This includes the efficient visual analysis of the shape and relative position of the different, often overlapping segmented data modalities, using high quality 3D renderings of the data. Furthermore, our system provides visualization methods to compare tumor segmentation volumes acquired at various points of time, which helps the user to explore changes in shape and size before and after treatment. We also employ two novel interactive diagrams which allow the user to quickly navigate and analyze overlapping tumor regions. All methods are assembled and linked in a multi-view framework.
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    A Semi-Automated Method for Subject-Specific Modeling of the Spinal Canal from Computed Tomography Images and Dynamic Radiographs
    (The Eurographics Association, 2013) Haque, Md. Abedul; Marai, G. Elisabeta; Michael Bronstein and Jean Favre and Kai Hormann
    Shrinkage of the spinal canal may be due to congenital or degenerative conditions, and it causes many spinerelated diseases. We present a semi-automated method to computationally reconstruct spinal canal models from static 3D images and dynamic 2D radiographs of the spine. First, we reconstruct the 3D motion of vertebrae from dynamic radiographs and compute hybrid representations of 3D bone models to facilitate computational modeling. We then use the bone position and orientation and the hybrid representations to computationally reconstruct the mesh structure of the spinal canal across the range of motion. The process requires selecting manually only a few landmark points (approximately 1%-2% of all computed vertices), and thus significantly reduces the amount of manual labor required for reconstructing a detailed geometrical model of the spinal canal. Validation on both a healthy and a fusion patient shows that the generated models can capture subject-specific characteristics of the canals and provide insight into the change of the motion pattern due to the surgery. The automation of the method will allow bioengineers to perform large scale experiments on healthy and injured spine joints and thus gain insight into underlying canal conditions.
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    Adaptive Surface Visualization of Vessels with Embedded Blood Flow Based on the Suggestive Contour Measure
    (The Eurographics Association, 2013) Lawonn, Kai; Gasteiger, Rocco; Preim, Bernhard; Michael Bronstein and Jean Favre and Kai Hormann
    The investigation of hemodynamic information for the assessment of cardiovascular diseases (CVD) has increased in recent years. Improved flow measuring modalities and computational fluid dynamics (CFD) simulations are suitable to provide domain experts with reliable blood flow information. For a visual exploration of the flow information domain experts are used to investigate the flow information combined with its enclosed vessel anatomy. Since the flow is spatially embedded in the surrounding vessel surface, occlusion problems have to be resolved that include a meaningful visual reduction of the vessel surface but still provide important anatomical features. We accomplish this by applying an adaptive surface visualization inspired by the suggestive contour measure. Our approach combines several visualization techniques to improve the perception of surface shape and depth. Thereby, we ensure appropriate visibility of the embedded flow information, which can be depicted with established or advanced flow visualization techniques. We apply our approach to cerebral aneurysms and aortas with simulated and measured blood flow. In an informal user feedback with nine domain experts, we confirm the advantages of our approach compared with existent methods, e.g., semi-transparent surface rendering.
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    Visualization and Analysis of Lumbar Spine Canal Variability in Cohort Study Data
    (The Eurographics Association, 2013) Klemm, Paul; Lawonn, Kai; Rak, Marko; Preim, Bernhard; Toennies, Klaus; Hegenscheid, Katrin; Völzke, Henry; Oeltze, Steffen; Michael Bronstein and Jean Favre and Kai Hormann
    Large-scale longitudinal epidemiological studies, such as the Study of Health in Pomerania (SHIP), investigate thousands of individuals with common characteristics or experiences (a cohort) including a multitude of sociodemographic and biological factors. Unique for SHIP is the inclusion of medical image data acquired via an extensive whole-body MRI protocol. Based on this data, we study the variability of the lumbar spine and its relation to a subset of socio-demographic and biological factors. We focus on the shape of the lumbar spinal canal which plays a crucial role in understanding the causes of lower back pain. We propose an approach for the reproducible analysis of lumbar spine canal variability in a cohort. It is based on the centerline of each individual canal, which is derived from a semi-automatic, model-based detection of the lumbar spine. The centerlines are clustered by means of Agglomerative Hierarchical Clustering to form groups with low intra-group and high inter-group shape variability. The number of clusters is computed automatically. The clusters are visualized by means of representatives to reduce visual clutter and simplify a comparison between subgroups of the cohort. Special care is taken to convey the shape of the spinal canal also orthogonal to the view plane.We demonstrate our approach for 490 individuals drawn from the SHIP data.We present preliminary results of investigating the clusters with respect to their associated socio-demographic and biological factors.
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    Closed-Form Hierarchical Finite Element Models for Part-Based Object Detection
    (The Eurographics Association, 2013) Rak, Marko; Engel, Karin; Tönnies, Klaus D.; Michael Bronstein and Jean Favre and Kai Hormann
    In this work we address part-based object detection under variability of part shapes and spatial relations. Our approach bases on the hierarchical finite element modeling concept of Engel and Tönnies [ET09a, ET09b]. They model object parts by elastic materials, which adapt to image structures via image-derived forces. Spatial part relations are realized through additional layers of elastic material forming an elastic hierarchy. We present a closed-form solution to this concept, reformulating the hierarchical optimization problem into the optimization of a non-hierarchical finite element model. This allows us to apply standard finite element techniques to hierarchical problems and to provide an efficient framework for part-based object detection. We demonstrate our approach at the example of lumbar column detection in magnetic resonance imaging on a data set of 49 subjects. Given a rough model initialization, our approach solved the detection problem reliably in 45 out of 49 cases, showing computation times of only a few seconds per subject.
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    A New Framework for Fitting Shape Models to Range Scans: Local Statistical Shape Priors Without Correspondences
    (The Eurographics Association, 2013) Last, Carsten; Winkelbach, Simon; Wahl, Friedrich M.; Michael Bronstein and Jean Favre and Kai Hormann
    Statistical shape models provide an important means in many applications in computer vision and computer graphics. However, the major problems are that the majority of these shape models require dense pointcorrespondences along all training shapes and that a large number of training shapes is needed in order to capture the full amount of intra-class shape variation. In this contribution, we focus on a statistical shape model that can be constructed from a set of training shapes without defining any point-correspondences. Additionally, we show how a local statistical shape model can make better use of the available shape information, greatly reducing the number of required training shapes. Finally, we present a new framework to fit this local statistical shape model without correspondences to range scans that represent incomplete parts of the trained shape class. The fitted model is then used to reproduce a natural-looking approximation of the complete shape.
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    Epipolar Plane Image Refocusing for Improved Depth Estimation and Occlusion Handling
    (The Eurographics Association, 2013) Diebold, Maximilian; Goldluecke, Bastian; Michael Bronstein and Jean Favre and Kai Hormann
    In contrast to traditional imaging, the higher dimensionality of a light field offers directional information about the captured intensity. This information can be leveraged to estimate the disparity of 3D points in the captured scene. A recent approach to estimate disparities analyzes the structure tensor and evaluates the orientation on epipolar plane images (EPIs). While the resulting disparity maps are generally satisfying, the allowed disparity range is small and occlusion boundaries can become smeared and noisy. In this paper, we first introduce an approach to extend the total allowed disparity range. This allows for example the investigation of camera setups with a larger baseline, like in the Middlebury 3D light fields. Second, we introduce a method to handle the difficulties arising at boundaries between fore- and background objects to achieve sharper edge transitions.
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    Geometric Point Light Source Calibration
    (The Eurographics Association, 2013) Ackermann, Jens; Fuhrmann, Simon; Goesele, Michael; Michael Bronstein and Jean Favre and Kai Hormann
    We present a light position calibration technique based on a general arrangement of at least two reflective spheres in a single image. Contrary to other techniques we do not directly intersect rays for triangulation but instead solve for the optimal light position by evaluating the image-space error of the light highlights reflected from the spheres. This approach has been very successful in the field of Structure-from-Motion estimation. It has not been applied to light source calibration because determining the reflection point on the sphere to project the highlight back in the image is a challenging problem. We show a solution and define a novel, non-linear error function to recover the position of a point light source. We also introduce a light position estimation that is based on observing the light source directly in multiple images which does not use any reflections. Finally, we evaluate both proposed techniques and the classical ray intersection method in several scenarios with real data.
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    Non-Sampled Anti-Aliasing
    (The Eurographics Association, 2013) Auzinger, Thomas; Musialski, Przemyslaw; Preiner, Reinhold; Wimmer, Michael; Michael Bronstein and Jean Favre and Kai Hormann
    In this paper we present a parallel method for high-quality edge anti-aliasing in rasterization. In contrast to traditional graphics hardware methods, which rely on massive oversampling to combat aliasing issues, we evaluate a closed-form solution of the associated prefilter convolution. This enables the use of a wide range of filter functions with arbitrary kernel sizes, as well as general shading methods such as texture mapping or complex illumination models. Due to the use of analytic solutions, our results are exact in the mathematical sense and provide objective ground-truth for other anti-aliasing methods and enable the rigorous comparison of different models and filters. An efficient implementation on general purpose graphics hardware is discussed and several comparisons to existing techniques and of various filter functions are given.
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    Illustrative Rendering of Particle Systems
    (The Eurographics Association, 2013) Chandler, Jennifer; Obermaier, Harald; Joy, Kenneth I.; Michael Bronstein and Jean Favre and Kai Hormann
    Sets of particles are a frequently used tool for the exploration of time-varying flow fields due to their ease of use and conceptual simplicity. Understanding temporal changes in such particle systems can be difficult with traditional visualization methods such as isosurface rendering and particle splatting. These types of methods only show the current shape of the point cloud and give no context about how the current time step relates to previous or future time steps. In this paper we present an illustrative rendering approach to visualizing particle systems. We use illustrative rendering techniques like silhouettes and trajectory arrows combined with volume raycasting to highlight important features in the particle system and show how these features change across time steps. Our method allows users to easily identify structures within the point cloud and understand how they evolve over time.
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    Image Based Rendering from Perspective and Orthographic Images for Autostereoscopic Multi-View Displays
    (The Eurographics Association, 2013) Jung, Daniel; Koch, Reinhard; Michael Bronstein and Jean Favre and Kai Hormann
    Current autostereoscopic (AS) multi-view displays for video that are targeted at the market allow typically up to 60 frames per second and offer between 20 and 60 different views per pixel. Future full parallax AS displays may well require thousands of views simultaneously. With the large number of different views video displays consume a huge amount of data, either transferred to the display or to be computed on demand from a 3D scene representation. In the following a novel depth-image based rendering interpolation algorithm targeted at multi-view video displays is introduced that combines the results of an interpolation on orthographic and perspective images. The same idea is further utilised to implement an efficient computer graphic rendering algorithm for full parallax AS displays.
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    Interactive Direct Volume Rendering with Many-light Methods and Transmittance Caching
    (The Eurographics Association, 2013) Weber, Christoph; Kaplanyan, Anton S.; Stamminger, Marc; Dachsbacher, Carsten; Michael Bronstein and Jean Favre and Kai Hormann
    In this paper we present an interactive global illumination method for Direct Volume Rendering (DVR) based on the many-light approach, a class of global illumination methods which gained much interest recently. We extend these methods to handle transfer function and volume density updates efficiently in order to foster ability of interactive volume exploration. Global illumination techniques accounting for all light transport phenomena are typically computationally too expensive for interactive DVR. Many-light methods represent the light transport in a volume by determining a set of virtual light sources whose direct illumination and single scattering to a view ray approximate full global illumination. Our technique reduces computation caused by transfer function changes by recomputing the contribution of these virtual lights, and rescaling or progressively updating their volumetric shadow maps and locations. We discuss these optimizations in the context of DVR and demonstrate their application to interactive rendering.
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    Progressive Visibility Caching for Fast Indirect Illumination
    (The Eurographics Association, 2013) Ulbrich, Justus; Novák, Jan; Rehfeld, Hauke; Dachsbacher, Carsten; Michael Bronstein and Jean Favre and Kai Hormann
    Rendering realistic images requires exploring the vast space of all possible paths that light can take between emitters and receivers. Thanks to the advances in rendering we can tackle this problem using different algorithms; but in general, we will likely be evaluating many expensive visibility queries. In this paper, we leverage the observation that certain kinds of visibility calculations do not need to be resolved exactly and results can be shared efficiently among similar queries. We present a visibility caching algorithm that significantly accelerates computation of diffuse and glossy inter-reflections. By estimating the visibility correlation between surface points, the cache automatically adapts to the scene geometry, placing more cache records in areas with rapidly changing visibility. We demonstrate that our approach is most suitable for progressive algorithms delivering approximate but fast previews as well as high quality converged results.
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    Optimising Aperture Shapes for Depth Estimation
    (The Eurographics Association, 2013) Sellent, Anita; Favaro, Paolo; Michael Bronstein and Jean Favre and Kai Hormann
    The finite depth of field of a real camera can be used to estimate the depth structure of a scene. While the distance of an object from the plane in focus determines the defocus blur size, the shape of the aperture determines the shape of the blur. This blur shape can be manipulated by introducing masks into the main lens aperture. We propose an intuitive criterion to design aperture patterns for depth estimation. Our design criterion imposes constraints directly in the data domain and optimises the amount of depth information carried by blurred images. As a quadratic function on the aperture transmission values, our criterion can be numerically evaluated to estimate optimised aperture patterns quickly. The proposed mask optimisation procedure is applicable for different depth estimation scenarios. We consider depth estimation from two images with different focus settings and depth estimation from two images with different aperture shapes.
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    Fine-Scale Editing of Continuous Volumes using Adaptive Surfaces
    (The Eurographics Association, 2013) Ruhl, Kai; Wenger, Stephan; Franke, Dennis; Saretzki, Julius; Magnor, Marcus; Michael Bronstein and Jean Favre and Kai Hormann
    Many fields of science such as astronomy and astrophysics require the visualization and editing of smooth, continuous volume data. However, current high-level approaches to volume editing concentrate on segmentable volume data prevalent in medical or engineering contexts, and therefore rely on the presence of well-defined 3D surface layers. Editing arbitrary volumes, on the other hand, is currently only possible using low-level approaches based on the rather unintuitive direct manipulation of axis-aligned slices. In this paper, we present a technique to add or modify fine-scale structures within astronomical nebulae based on adaptive drawing surfaces that enable 2Dimage- like editing approaches. Our results look more natural and have been produced in a much shorter time than previously possible with axis-aligned slice editing.
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    Level of Detail for Real-Time Volumetric Terrain Rendering
    (The Eurographics Association, 2013) Scholz, Manuel; Bender, Jan; Dachsbacher, Carsten; Michael Bronstein and Jean Favre and Kai Hormann
    Terrain rendering is an important component of many GIS applications and simulators. Most methods rely on heightmap-based terrain which is simple to acquire and handle, but has limited capabilities for modeling features like caves, steep cliffs, or overhangs. In contrast, volumetric terrain models, e.g. based on isosurfaces can represent arbitrary topology. In this paper, we present a fast, practical and GPU-friendly level of detail algorithm for large scale volumetric terrain that is specifically designed for real-time rendering applications. Our algorithm is based on a longest edge bisection (LEB) scheme. The resulting tetrahedral cells are subdivided into four hexahedra, which form the domain for a subsequent isosurface extraction step. The algorithm can be used with arbitrary volumetric models such as signed distance fields, which can be generated from triangle meshes or discrete volume data sets. In contrast to previous methods our algorithm does not require any stitching between detail levels. It generates crack free surfaces with a good triangle quality. Furthermore, we efficiently extract the geometry at runtime and require no preprocessing, which allows us to render infinite procedural content with low memory consumption.
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    Sampled and Analytic Rasterization
    (The Eurographics Association, 2013) Auzinger, Thomas; Wimmer, Michael; Michael Bronstein and Jean Favre and Kai Hormann
    In this poster we present an overview of exact anti-aliasing (AA) methods in rasterization. In contrast to the common supersampling approaches for visibility AA (e.g. MSAA) or both visibility and shading AA (e.g. SSAA, decoupled sampling), prefiltering provides the mathematically exact solution to the aliasing problem. Instead of averaging a set a supersamples, the input data is convolved with a suitable low-pass filter before sampling is applied. Recent work showed that for both visibility signals and simple shading models, a closed-form solution to the convolution integrals can be found. As our main contribution, we present a classification of both sample-based and analytic AA approaches for rasterization and analyse their strengths and weaknesses.
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    Datasets and Benchmarks for Densely Sampled 4D Light Fields
    (The Eurographics Association, 2013) Wanner, Sven; Meister, Stephan; Goldluecke, Bastian; Michael Bronstein and Jean Favre and Kai Hormann
    We present a new benchmark database to compare and evaluate existing and upcoming algorithms which are tailored to light field processing. The data is characterised by a dense sampling of the light fields, which best fits current plenoptic cameras and is a characteristic property not found in current multi-view stereo benchmarks. It allows to treat the disparity space as a continuous space, and enables algorithms based on epipolar plane image analysis without having to refocus first. All datasets provide ground truth depth for at least the center view, while some have additional segmentation data available. Part of the light fields are computer graphics generated, the rest are acquired with a gantry, with ground truth depth established by a previous scanning of the imaged objects using a structured light scanner. In addition, we provide source code for an extensive evaluation of a number of previously published stereo, epipolar plane image analysis and segmentation algorithms on the database.
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    Towards Multi-Kernel Ray Tracing for GPUs
    (The Eurographics Association, 2013) Schiffer, Thomas; Fellner, Dieter W.; Michael Bronstein and Jean Favre and Kai Hormann
    Ray tracing is a widely used algorithm to compute images with high visual quality. Mapping ray tracing computations to massively parallel hardware architectures in an efficient manner is a difficult task. Based on an analysis of current ray tracing algorithms on GPUs, a new ray traversal scheme called batch tracing is proposed. It decomposes the task into multiple kernels, each of which is designed for efficient execution. Our algorithm achieves comparable performance to state-of-the-art approaches and represents a promising avenue for future research.
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    Dynamic Time Warping Based 3D Contours
    (The Eurographics Association, 2013) Croci, Simone; Smolic, Aljoscha; Wang, Oliver; Michael Bronstein and Jean Favre and Kai Hormann
    In this work, we present a method for computing 3D contours from the silhouettes of objects in multiple views. Our approach unwraps contours into 1D signals and computes an efficient, globally optimal alignment using a modified dynamic time warping technique. Using our method, we can approximate real model geometry by interpolating the 3D contour on the billboard plane, thereby reducing the stereo problem to 1D and allowing for much more efficient and robust computation methods.
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    Visualizing Dissections of the Heart in a Dataflow-based Shader Framework for Volume Rendering
    (The Eurographics Association, 2013) Arens, Stephan; Bolte, Matthias; Domik, Gitta; Michael Bronstein and Jean Favre and Kai Hormann
    Dissections in anatomic heart illustrations are an effective visualization technique and support a variety of applications in exploration and communication. In this paper we implemented a set of volume deformations imitating dissections found in anatomy atlases of the human heart based on individual patient data. This allows physicians and surgeons to compare, explore, and discuss volume data in view of atlas illustrations. The main challenge for these illustrations is the flexible real-time combination of various (geometric) deformations and shadows (influenced by the deformations) to depict shapes and structures. The proposed technical solution to these volume visualizations is a novel GPU-based processing technique for dataflow-based shading graphs. Hence, any deformations can easily be combined in our system with immediate influence on shadows and shading. We show the effectiveness and applicability of our approach by imitating illustrations of heart dissections taken from an anatomy atlas using the patient's individual volume data.