Now showing items 30-49 of 116

    • Egocentric Normalization of Kinematic Path 

      Molla, Eray; Boulic, Ronan (The Eurographics Association, 2015)
      We focus on retargetting the class of movements involving self-interactions onto characters with different size and proportion. Such postures may produce self-collisions and/or alter the intended semantics. We introduce a ...
    • EUROGRAPHICS 2015: CGF 34-2 Frontmatter 

      Olga Sorkine-Hornung; Michael Wimmer (The Eurographics Association and John Wiley & Sons Ltd., 2015)
    • EUROGRAPHICS 2015: Dirk Bartz Prize Frontmatter 

      Hans-Christian Hege; Timo Ropinski (Eurographics Association, 2015)
    • EUROGRAPHICS 2015: Education Papers Frontmatter 

      Matthias Teschner; Michael Bronstein (Eurographics Association, 2015)
    • EUROGRAPHICS 2015: Posters Frontmatter 

      Barbara Solenthaler; Enrico Puppo (Eurographics Association, 2015)
    • EUROGRAPHICS 2015: Short Papers Frontmatter 

      Bernd Bickel; Tobias Ritschel (Eurographics Association, 2015)
    • EUROGRAPHICS 2015: State of the Art Reports Frontmatter 

      Kai Hormann; Oliver Staadt (Eurographics Association, 2015)
    • EUROGRAPHICS 2015: Tutorials Frontmatter 

      Matthias Zwicker; Cyril Soler (Eurographics Association, 2015)
    • Evaluation of the compressibility of Computer-Generated Holograms 

      Pimenta, Waldir; Santos, Luis P. (The Eurographics Association, 2015)
      We present a preliminary investigation of the compressibility of Physically-Based Computer-Generated Holograms (PB CGHs) as represented in various bases. The goal is to identify which bases, if any, are suitable for applying ...
    • Exploiting the Potential of Image Based Crowd Rendering 

      Izquierdo, Maria; Beacco, Alejandro; Pelechano, Nuria; Andujar, Carlos (The Eurographics Association, 2015)
      Per-joint impostors have been used to achieve high performance when rendering thousands of agents, while still allowing us to blend animation. This provides interactively animated crowds and reduces the memory footprint ...
    • Eye Tracking Visualization 

      Burch, Michael; Blascheck, Tanja; Kurzhals, Kuno; Pflüger, Hermann; Raschke, Michael; Weiskopf, Daniel; Pfeiffer, Thies (The Eurographics Association, 2015)
      Eye tracking has become a widely used method to analyze user behavior in marketing, neuroscience, human-computer interaction, and visualization research. Apart from measuring completion times and recording accuracy rates ...
    • Eye-tracktive: Measuring Attention to Body Parts when Judging Human Motions 

      Ennis, Cathy; Hoyet, Ludovic; O'Sullivan, Carol (The Eurographics Association, 2015)
      Virtual humans are often endowed with human-like characteristics to make them more appealing and engaging. Motion capture is a reliable way to represent natural motion on such characters, thereby allowing a wide range of ...
    • Fast Edge-based Geodesic Poisson Disk Remeshing 

      Uhlmann, Tom; Váša, Libor; Brunnett, Guido (The Eurographics Association, 2015)
      Triangular meshes of high complexity are common when created by a 3D scanner device and must be reduced for further processing. The geodesic Poisson disk remeshing [FZ08] is a method that generates a simplified mesh with ...
    • Fractured Object Reassembly via Robust Surface Registration 

      Mavridis, Pavlos; Andreadis, Anthousis; Papaioannou, Georgios (The Eurographics Association, 2015)
      The reassembly of fractured 3D objects from their parts is an important problem in cultural heritage and other domains.We approach reassembly from a geometric matching perspective and propose a pipeline for the automatic ...
    • General and Robust Error Estimation and Reconstruction for Monte Carlo Rendering 

      Bauszat, Pablo; Eisemann, Martin; Eisemann, Elmar; Magnor, Marcus (The Eurographics Association and John Wiley & Sons Ltd., 2015)
      Adaptive filtering techniques have proven successful in handling non-uniform noise in Monte-Carlo rendering approaches. A recent trend is to choose an optimal filter per pixel from a selection of non spatially-varying ...
    • Generating Design Suggestions under Tight Constraints with Gradient-based Probabilistic Programming 

      Ritchie, Daniel; Lin, Sharon; Goodman, Noah D.; Hanrahan, Pat (The Eurographics Association and John Wiley & Sons Ltd., 2015)
      We present a system for generating suggestions from highly-constrained, continuous design spaces. We formulate suggestion as sampling from a probability distribution; constraints are represented as factors that concentrate ...
    • Generation of Folded Terrains from Simple Vector Maps 

      Michel, Elie; Emilien, Arnaud; Cani, Marie-Paule (The Eurographics Association, 2015)
      While several terrain generation methods focused on plausible watersheds, the fact that most mountains should not be isolated but rather be part of wider scale mountain ranges was seldom considered. In this work, we present ...
    • GHand: A GPU Algorithm for Realtime Hand Pose Estimation Using Depth Camera 

      Nanjappa, Ashwin; Xu, Chi; Cheng, Li (The Eurographics Association, 2015)
      We present GHand, a GPU algorithm for markerless hand pose estimation from a single depth image obtained from a commodity depth camera. Our method uses a dual random forest approach: the first forest estimates position and ...
    • Guided Analysis of Cardiac 4D PC-MRI Blood Flow Data 

      Köhler, Benjamin; Preim, Uta; Grothoff, Matthias; Gutberlet, Matthias; Fischbach, Katharina; Preim, Bernhard (The Eurographics Association, 2015)
      Four-dimensional phase-contrast magnetic resonance imaging (4D PC-MRI) allows the non-invasive acquisition of temporally resolved, three-dimensional blood flow information. Quantitative and qualitative data analysis helps ...
    • Guiding Image Manipulations using Shape-appearance Subspaces from Co-alignment of Image Collections 

      Nguyen, Chuong H.; Nalbach, Oliver; Ritschel, Tobias; Seidel, Hans-Peter (The Eurographics Association and John Wiley & Sons Ltd., 2015)
      We propose a system to restrict the manipulation of shape and appearance in an image to a valid subspace which we learn from a collection of exemplar images. To this end, we automatically co-align a collection of images ...