7,795 Works

Combining Pseudo Chroma Depth Enhancement and Parameter Mapping for Vascular Surface Models

Benjamin Behrendt, Philipp Berg, Bernhard Preim & Sylvia Saalfeld
The presence of depth cues in a visualization can be a great aid in understanding the structure and topology of a vessel tree. Pseudo Chromadepth is a well-known technique for enhancing depth perception in vascular 3D models. Since it strongly relies on the color channel to convey its depth cues, it is traditionally not suited for combined visualizations comprising color-encoded surface parameters. In this paper, we present and evaluate the use of a modified form...

Semi-Automatic Geometry-Driven Reassembly of Fractured Archeological Objects

Nicolas Mellado, Patrick Reuter & Christophe Schlick
VAST: International Symposium on Virtual Reality, Archaeology and Intelligent Cultural Heritage

Programmable Graphics Hardware for Interactive Visualization

Thomas Ertl, Daniel Weiskopf, Martin Kraus, Klaus Engel, Manfred Weiler, Matthias Hopf, Stefan Röttger & Christof Rezk-Salama
Eurographics 2002 - Tutorials

Time-varying Image Data Visualization Framework for Application in Cardiac Catheterization Procedures

Ying Liang Ma, Kawal S. Rhode, Andy P. King, Gang Gao, Phani Chinchapatnam, Tobias Schaeffter, Reza Razavi & Kurt Saetzler
Theory and Practice of Computer Graphics

I/O-Conscious Volume Rendering

Chuan-Kai Yang & Tzi-Cker Chiueh
Most existing volume rendering algorithms assume that data sets are memory-resident and thus ignore the performance overhead of disk I/O. While this assumption may be true for high-performance graphics machines, it does not hold for most desktop personal workstations. To minimize the end-to-end volume rendering time, this work re-examines implementation strategies of the ray casting algorithm, taking into account both computation and I/O overheads. Specifically, we developed a data-driven execution model for ray casting that...

A Hardware Processing Unit for Point Sets

Simon Heinzle, Gaël Guennebaud, Mario Botsch & Markus Gross
Graphics Hardware

Automated Detection of Anatomical Regions in Magnetic Resonance Images

Márton J. Tóth, Tamás Blaskovics, László Ruskó, Gaspar Delso & Balázs Csébfalvi
Vision, Modeling & Visualization

3D-Model Retrieval Using Bag-of-Features Based on Closed Curves

Rachid El Khoury, Jean-Philippe Vandeborre & Mohamed Daoudi
Eurographics 2013 Workshop on 3D Object Retrieval

Utilizing Treemaps for Multicriterial Search of 3D Objects

Georgios Petkos, Vasilios Darlagiannis, Konstantinos Moustakas & Dimitrios Tzovaras
EuroVAST 2010: International Symposium on Visual Analytics Science and Technology

The Virtual Painting Paintbox

D. Sobczyk, V. Boyer & J-J. Bourdin
Eurographics 2003 - Short Presentations

''It''+''I'': Virtual Embodiments as Hybrid Experiences

Tom Giraud, Alexis Paljic & Laure Leroy
Joint Virtual Reality Conference of EGVE - EuroVR

Parameterization and Feature Extraction for the Visualization of Tree-like Structures

Nils Lichtenberg & Kai Lawonn
The study and visualization of vascular structures, using 3D models obtained from medical data, is an active field of research. Illustrative visualizations have been applied to this domain in multiple ways. Researchers have tried to make the geometric properties of vasculature more comprehensive and to augment the surface with representations of multivariate clinical data. Techniques that head beyond the application of color-maps or simple shading approaches require a sort of surface parameterization, i.e., texture coordinates,...

Towards GKS Binding to PASCAL

Sergio Antoy & Giuliana Dettori
Eurographics Conference Proceedings

Spectral Primary Decomposition for Rendering with sRGB Reflectance

Ian Mallett & Cem Yuksel
Spectral renderers, as-compared to RGB renderers, are able to simulate light transport that is closer to reality, capturing light behavior that is impossible to simulate with any three-primary decomposition. However, spectral rendering requires spectral scene data (e.g. textures and material properties), which is not widely available, severely limiting the practicality of spectral rendering. Unfortunately, producing a physically valid reflectance spectrum from a given sRGB triple has been a challenging problem, and indeed until very recently...

Interactive Visualization of Massive Location Data using Multi-Scale Trajectories

Thomas De Bodt, Bart Adams & Jan Aerts
Today location information on aircraft and vessels is collected worldwide and readily available to analysts. When analyzing such data for a large area or a long period of time, the sheer size of the dataset becomes a challenge. Especially when one wants to work interactively at both overview and detail scales. We present a scalable approach to visualize such data by treating it as a set of trajectories simplified at different error rates. When combined...

Eulerian Motion Blur

Doyub Kim & Hyeong-Seok Ko
Eurographics Workshop on Natural Phenomena

Animation and Control of Breaking Waves

Viorel Mihalef, Dimitris Metaxas & Mark Sussman
Controlling fluids is still an open and challenging problem in fluid animation. In this paper we develop a novel fluid animation control approach and we present its application to controlling breaking waves. In our Slice Method framework an animator defines the shape of a breaking wave at a desired moment in its evolution based on a library of breaking waves. Our system computes then the subsequent dynamics with the aid of a 3D Navier-Stokes solver....

MolFind - Integrated Multi-Selection Schemes for Complex Molecular Structures

Robin Skånberg, Mathieu Linares, Martin Falk, Ingrid Hotz & Anders Ynnerman
Selecting components and observing changes of properties and configurations over time is an important step in the analysis of molecular dynamics (MD) data. In this paper, we present a selection tool combining text-based queries with spatial selection and filtering. Morphological operations facilitate refinement of the selection by growth operators, e.g. across covalent bonds. The combination of different selection paradigms enables flexible and intuitive analysis on different levels of detail and visual depiction of molecular events....

Visual Predictive Analytics using iFuseML

Gunjan Sehgal, Mrinal Rawat, Bindu Gupta, Garima Gupta, Geetika Sharma & Gautam Shroff
Solving a predictive analytics problem involves multiple machine learning tasks in a workflow. Directing such workflows efficiently requires an understanding of data so as to identify and handle missing values and outliers, compute feature correlations and to select appropriate models and hyper-parameters. While traditional machine learning techniques are capable of handling these challenges to a certain extent, visual analysis of data and results at each stage can significantly assist in optimal processing of the workflow....

Parallelized Algorithms for Rigid Surface Alignment on GPU

Aviad Zabatani & Alex M. Bronstein
Eurographics 2012 Workshop on 3D Object Retrieval

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