Now showing items 4586-4605 of 5006

    • UberFlow: A GPU-Based Particle Engine 

      Kipfer, Peter; Segal, Mark; Westermann, Rüdiger (The Eurographics Association, 2004)
      We present a system for real-time animation and rendering of large particle sets using GPU computation and memory objects in OpenGL. Memory objects can be used both as containers for geometry data stored on the graphics ...
    • UDMV 2016: Frontmatter 

      Vincent Tourre; Filip Biljecki (Eurographics Association, 2016)
    • UI-Net: Interactive Artificial Neural Networks for Iterative Image Segmentation Based on a User Model 

      Amrehn, Mario; Gaube, Sven; Unberath, Mathias; Schebesch, Frank; Horz, Tim; Strumia, Maddalena; Steidl, Stefan; Kowarschik, Markus; Maier, Andreas (The Eurographics Association, 2017)
      For complex segmentation tasks, fully automatic systems are inherently limited in their achievable accuracy for extracting relevant objects. Especially in cases where only few data sets need to be processed for a highly ...
    • Ultrasound Decompression for Large Field-of-View Reconstructions 

      Schulte zu Berge, Christian; Salehi, Mehrdad; Bender, Frederik; Wein, Wolfgang (The Eurographics Association, 2018)
      Tracked medical ultrasound allows for cost-effective and radiation-free imaging of anatomy featuring a very high spatial resolution. To overcome the limitations of the small field-of-view, sonographers can acquire multiple ...
    • Uncertainty and Variability in Point Cloud Surface Data 

      Pauly, Mark; Mitra, Niloy J.; Guibas, Leonidas J. (The Eurographics Association, 2004)
      We present a framework for analyzing shape uncertainty and variability in point-sampled geometry. Our representation is mainly targeted towards discrete surface data stemming from 3D acquisition devices, where a finite ...
    • Uncertainty Estimation and Visualization for Multi-modal Image Segmentation 

      Al-Taie, Ahmed; Hahn, Horst K.; Linsen, Lars (The Eurographics Association, 2015)
      Multi-modal imaging allows for the integration of complementary information from multiple medical imaging modalities for an improved analysis. The multiple information channels may lead to a reduction of the uncertainty ...
    • Uncertainty-aware Ensemble of Classifiers for Segmenting Brain MRI Data 

      Al-Taie, Ahmed; Hahn, Horst K.; Linsen, Lars (The Eurographics Association, 2014)
      Estimating and visualizing uncertainty in medical image segmentation has become an active research area due to the necessity of making medical experts aware of possibly wrong segmentation decisions. Still, to our knowledge ...
    • Uncertainty-Aware Exploration of Continuous Parameter Spaces Using Multivariate Prediction 

      Berger, Wolfgang; Piringer, H.; Filzmoser, P.; Gröller, Eduard (The Eurographics Association and Blackwell Publishing Ltd., 2011)
      Systems projecting a continuous n-dimensional parameter space to a continuous m-dimensional target space play an important role in science and engineering. If evaluating the system is expensive, however, an analysis is ...
    • Uncertainty-Guided Semi-Automated Editing of CNN-based Retinal Layer Segmentations in Optical Coherence Tomography 

      Zadeh, Shekoufeh Gorgi; Wintergerst, Maximilian W. M.; Schultz, Thomas (The Eurographics Association, 2018)
      Convolutional neural networks (CNNs) have enabled dramatic improvements in the accuracy of automated medical image segmentation. Despite this, in many cases, results are still not reliable enough to be trusted ''blindly''. ...
    • Unconditionally Stable Shock Filters for Image and Geometry Processing 

      Prada, Fabian; Kazhdan, Misha (The Eurographics Association and John Wiley & Sons Ltd., 2015)
      This work revisits the Shock Filters of Osher and Rudin [OR90] and shows how the proposed filtering process can be interpreted as the advection of image values along flow-lines. Using this interpretation, we obtain an ...
    • Unconstrained Isosurface Extraction on Arbitrary Octrees 

      Kazhdan, Michael; Klein, Allison; Dalal, Ketan; Hoppe, Hugues (The Eurographics Association, 2007)
      This paper presents a novel algorithm for generating a watertight level-set from an octree. We show that the level- set can be efficiently extracted regardless of the topology of the octree or the values assigned to the ...
    • Uncovering Representative Groups in Multidimensional Projections 

      Joia, Paulo; Petronetto, Fabiano; Nonato, Luis Gustavo (The Eurographics Association and John Wiley & Sons Ltd., 2015)
      Multidimensional projection-based visualization methods typically rely on clustering and attribute selection mechanisms to enable visual analysis of multidimensional data. Clustering is often employed to group similar ...
    • Understanding City Dynamics through Spatio-temporal Visualization 

      Dias, Luís; Silva, Nelson; Cardoso, Tiago; Fonseca, Manuel J. (The Eurographics Association, 2013)
      Every time we visit a new city there is a huge effort made in understanding its dynamic, i.e. what are the relevant locations within that city in each time period, for there are large amounts of data to sift through. ...
    • Understanding Interactive Legends: a Comparative Evaluation with Standard Widgets 

      Riche, Nathalie Henry; Lee, Bongshin; Plaisant, Catherine (The Eurographics Association and Blackwell Publishing Ltd., 2010)
      Interactive information visualization systems rely on widgets to allow users to interact with the data and modify the representation. We define interactive legends as a class of controls combining the visual representation ...
    • Understanding the Efficiency of GPU Algorithms for Matrix-Matrix Multiplication 

      Fatahalian, K.; Sugerman, J.; Hanrahan, P. (The Eurographics Association, 2004)
      Utilizing graphics hardware for general purpose numerical computations has become a topic of considerable interest. The implementation of streaming algorithms, typified by highly parallel computations with little reuse of ...
    • Understanding the Efficiency of Ray Traversal on GPUs 

      Aila, Timo; Laine, Samuli (The Eurographics Association, 2009)
      We discuss the mapping of elementary ray tracing operations- acceleration structure traversal and primitive intersection-onto wide SIMD/SIMT machines. Our focus is on NVIDIA GPUs, but some of the observations should be ...
    • Underwater photogrammetry for archaeology and marine biology.40 years of experience in Marseille, France 

      Drap, Pierre; Merad, Djamel; Seinturier, Julien; Mahiddine, Amine; Peloso, Daniela; Boi, Jean-Marc; Long, Luc; Garrabou, Joaquim (The Eurographics Association, 2013)
      Since 1973 archeology and computer science have developed close ties in Marseille. Two departments (computer science and archaeology) from the French National Centre for Scientific Research (CNRS) in Marseille started ...
    • The Undistort Lens 

      Brosz, John; Carpendale, Sheelagh; Nacenta, Miguel A. (The Eurographics Association and Blackwell Publishing Ltd., 2011)
      Detail-in-context lens techniques can be useful for exploring visualizations of data spaces that are too large or have too much detail to fit in regular displays. For example, by bending the space in the right way we can ...
    • Unfolding and Interactive Exploration of Protein Tunnels and their Dynamics 

      Kolesár, Ivan; Byska, Jan; Parulek, Julius; Hauser, Helwig; Kozlíková, Barbora (The Eurographics Association, 2016)
      The presence of tunnels in protein structures substantially influences their reactivity with other molecules. Therefore, studying their properties and changes over time has been in the scope of biochemists for decades. In ...
    • A Unified Lagrangian Approach to Solid-Fluid Animation 

      Keiser, Richard; Adams, Bart; Gasser, Dominique; Bazzi, Paolo; Dutré, Philip; Gross, Markus (The Eurographics Association, 2005)
      We present a framework for physics-based animation of deforming solids and fluids. By merging the equations of solid mechanics with the Navier-Stokes equations using a particle-based Lagrangian approach, we are able to ...