Browsing Eurographics Partner Events by Title

Now showing items 1627-1646 of 2371

    • SailVis: Reconstruction and Multifaceted Visualization of Sail Shape 

      Mu, Danfeng; Pieras, Marcos; Broekens, Douwe; Marroquim, Ricardo (The Eurographics Association, 2021)
      While sailing, sailors rely on their eyes to inspect the sail shape and adjust the configurations to achieve an appropriate shape for a certain the weather condition. Mastering this so-called trimming process requires years ...

    • Saliency Clouds: Visual Analysis of Point Cloud-oriented Deep Neural Networks in DeepRL for Particle Physics 

      Mulawade, Raju Ningappa; Garth, Christoph; Wiebel, Alexander (The Eurographics Association, 2022)
      We develop and describe saliency clouds, that is, visualization methods employing explainable AI methods to analyze and interpret deep reinforcement learning (DeepRL) agents working on point cloud-based data. The agent in ...

    • Saliency-driven Depth Compression for 3D Image Warping 

      Gu, Minjie; Hu, Shanfeng; Wang, Xiaochuan; Liang, Xiaohui; Shen, Xukun; Qin, Aihong (The Eurographics Association, 2014)
      Current compression methods compress depth images by incorporating 2D features, which leads to a loss of the detail of the original 3D object in the recovered depth image. The main idea of this paper is to augment 2D ...

    • SAMBAVis: Design Study of a Visual Analytics Tool for the Music Industry Powered by YouTube Comments 

      Oliveira, Victor Adriel de Jesus; Stoiber, Christina; Grüblbauer, Johanna; Musik, Christoph; Ringot, Alexis; Gebesmair, Andreas (The Eurographics Association, 2020)
      Data from comments on social media platforms offer valuable information about trends and market changes. Aiming at the music industry, we propose SAMBAVis: a visual analytics tool to handle user-generated content from ...

    • Sampled and Analytic Rasterization 

      Auzinger, Thomas; Wimmer, Michael (The Eurographics Association, 2013)
      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, ...

    • Sampling Clear Sky Models using Truncated Gaussian Mixtures 

      Vitsas, Nick; Vardis, Konstantinos; Papaioannou, Georgios (The Eurographics Association, 2021)
      Parametric clear sky models are often represented by simple analytic expressions that can efficiently generate plausible, natural radiance maps of the sky, taking into account expensive and hard to simulate atmospheric ...

    • Sankey Arcs - Visualizing edge weights in path graphs 

      Nagel, Till; Duval, Erik; Moere, Andrew Vande; Kloeckl, Kristian; Ratti, Carlo (The Eurographics Association, 2012)
      Arc diagrams allow exploring relations and their strength between sequential nodes. Previous solutions suffer from displaying all arcs at the center of a node, which can lead to visual obstruction. We present a new technique, ...

    • SBL Mesh Filter: A Fast Separable Approximation of Bilateral Mesh Filtering 

      Vialaneix, Guillaume; Boubekeur, Tamy (The Eurographics Association, 2011)
      Bilateral mesh filtering is a simple and powerful feature-preserving filtering operator which allows to smooth or remove noise from surface meshes while preserving important features in a non-iterative way. However, to be ...

    • SCA 2016 Posters: Frontmatter 

      Jan Bender (Eurographics Association, 2016)

    • Scalable Cluster Analysis of Spatial Events 

      Peca, Iulian; Fuchs, Georg; Vrotsou, Katerina; Andrienko, Natalia; Andrienko, Gennady (The Eurographics Association, 2012)
      Clustering of massive data is an important analysis tool but also challenging since the data often does not fit in RAM. Many clustering algorithms are thus severely memory-bound. This paper proposes a deterministic density ...

    • Scalable Real-Time Shadows using Clustering and Metric Trees 

      Deves, François; Mora, Frédéric; Aveneau, Lilian; Ghazanfarpour, Djamchid (The Eurographics Association, 2018)
      Real-time shadow algorithms based on geometry generally produce high quality shadows. Recent works have considerably improved their efficiency. However, scalability remains an issue because these methods strongly depend ...

    • Scalar Field Comparison with Topological Descriptors: Properties and Applications for Scientific Visualization 

      Yan, Lin; Masood, Talha Bin; Sridharamurthy, Raghavendra; Rasheed, Farhan; Natarajan, Vijay; Hotz, Ingrid; Wang, Bei (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      In topological data analysis and visualization, topological descriptors such as persistence diagrams, merge trees, contour trees, Reeb graphs, and Morse-Smale complexes play an essential role in capturing the shape of ...

    • Scale-Adaptive Placement of Hierarchical Map Labels 

      Wu, Hsiang-Yun; Takahashi, Shigeo; Poon, Sheung-Hung; Arikawa, Masatoshi (The Eurographics Association, 2017)
      Nowadays, digital map services provide a large amount of spatial data and thus facilitate users to dynamically navigate map contents across multiple scales on small mobile devices. In this context, consistently placing map ...

    • Scaling Up the Explanation of Multidimensional Projections 

      Thijssen, Julian; Tian, Zonglin; Telea, Alexandru (The Eurographics Association, 2023)
      We present a set of interactive visual analysis techniques aiming at explaining data patterns in multidimensional projections. Our novel techniques include a global value-based encoding that highlights point groups having ...

    • Scene Segmentation and Understanding for Context-Free Point Clouds 

      Spina, Sandro; Debattista, Kurt; Bugeja, Keith; Chalmers, Alan (The Eurographics Association, 2014)
      The continuous development of new commodity hardware intended to capture the surface structure of objects is quickly making point cloud data ubiquitous. Scene understanding methods address the problem of determining the ...

    • Scene Structure Inference through Scene Map Estimation 

      Hueting, Moos; Patraucean, Viorica; Ovsjanikov, Maks; Mitra, Niloy J. (The Eurographics Association, 2016)
      Understanding indoor scene structure from a single RGB image is useful for a wide variety of applications ranging from the editing of scenes to the mining of statistics about space utilization. Most efforts in scene ...

    • Scientific Convergence and Divergence in Visualization and Visual Analytics 

      He, Jiangen (The Eurographics Association, 2022)
      We present preliminary results of a visualization tool designed to visualize scientific evolution by using scientific publication data, especially convergence-divergence processes. It aims to increase the efficiency and ...

    • Scoped: Visualising the Scope Chain Within Source Code 

      Bacher, Ivan; Namee, Brian Mac; Kelleher, John D. (The Eurographics Association, 2017)
      This paper presents an interactive visualisation tool that encodes the scope chain, and information related to the scope chain, within source code. The main goal of the tool is to support programmers when dealing with ...

    • Screen Space Approximate Gaussian Hulls 

      Meder, Julian; Brüderlin, Beat (The Eurographics Association, 2018)
      The Screen Space Approximate Gaussian Hull method presented in this paper is based on an output sensitive, adaptive approach, which addresses the challenge of high quality rendering even for high resolution displays and ...

    • Screen Space Spherical Harmonic Occlusion 

      Herholz, Sebastian; Schairer, Timo; Schilling, Andreas; Straßer, Wolfgang (The Eurographics Association, 2012)
      In this paper we present a new algorithm for real-time directional occlusion sampling. We combine the real-time capabilities of Screen Space Ambient Occlusion (SSAO) with the Spherical Harmonics (SH) representation of local ...