Cagliari, Italy, November 14 – 15, 2019


Full Papers
MTV-Player: Interactive Spatio-Temporal Exploration of Compressed Large-Scale Time-Varying Rectilinar Scalar Volumes
Jose Díaz, Fabio Marton, and Enrico Gobbetti
A Visualization Tool for Scholarly Data
Mario Salinas, Daniela Giorgi, Federico Ponchio, and Paolo Cignoni
Immersive Environment for Creating, Proofreading, and Exploring Skeletons of Nanometric Scale Neural Structures
Daniya Boges, Corrado Calì, Pierre J. Magistretti, Markus Hadwiger, Ronell Sicat, and Marco Agus
HT-based Recognition of Patterns on 3D Shapes Using a Dictionary of Mathematical Curves
Chiara Romanengo, Silvia Biasotti, and Bianca Falcidieno
Feature-based Characterisation of Patient-specific 3D Anatomical Models
Imon Banerjee, Martina Paccini, Enrico Ferrari, Chiara Eva Catalano, Silvia Biasotti, and Michela Spagnuolo
3DReg-i-Net: Improving Deep Learning Based 3D Registration for a Robust Real-time Alignment of Small-scale Scans
Marco Lombardi, Andrea Riccardi, Mattia Savardi, and Alberto Signoroni
Split and Mill: User Assisted Height-field Block Decomposition for Fabrication
Alessandro Muntoni, Lucio Davide Spano, and Riccardo Scateni
Interactive Animation of Single-layer Cumulus Clouds Using Cloud Map
Prashant Goswami
Motion Data and Model Management for Applied Statistical Motion Synthesis
Erik Herrmann, Han Du, André Antakli, Dmitri Rubinstein, René Schubotz, Janis Sprenger, Somayeh Hosseini, Noshaba Cheema, Ingo Zinnikus, Martin Manns, Klaus Fischer, and Philipp Slusallek
Visual Representation of Region Transitions in Multi-dimensional Parameter Spaces
Oliver Fernandes, Steffen Frey, Guido Reina, and Thomas Ertl
Posters
Design and Implementation of a Visualization Tool for the in-depth Analysis of the Domestic Electricity Consumption
Gabriele Merlin, Daniele Ortu, Gianmarco Cherchi, and Riccardo Scateni
Computational Fabrication of Macromolecules to Enhance Perception and Understanding of Biological Mechanisms
Thomas Alderighi, Daniela Giorgi, Luigi Malomo, Paolo Cignoni, and Monica Zoppè
MLIC-Synthetizer: a Synthetic Multi-Light Image Collection Generator
Tinsae Gebrechristos Dulecha, Andrea Dall'Alba, and Andrea Giachetti
Mapping Grey-Levels on 3D Segmented Anatomical districts
Martina Paccini, Giuseppe Patané, and Michela Spagnuolo
Relief Pattern Segmentation Using 2D-Grid Patches on a Locally Ordered Mesh Manifold
Claudio Tortorici, Denis Vreshtazi, Stefano Berretti, and Naoufel Werghi
Full Papers
Yocto/GL: A Data-Oriented Library For Physically-Based Graphics
Fabio Pellacini, Giacomo Nazzaro, and Edoardo Carra
The Py3DViewer Project: a Python Library for fast Prototyping in Geometry Processing
Gianmarco Cherchi, Luca Pitzalis, Giovanni Laerte Frongia, and Riccardo Scateni
ReVize: A Library for Visualization Toolchaining with Vega-Lite
Marius Hogräfer and Hans-Jörg Schulz

Recent Submissions

  • ReVize: A Library for Visualization Toolchaining with Vega-Lite 

    Hogräfer, Marius; Schulz, Hans-Jörg (The Eurographics Association, 2019)
    The field of tools for data visualization has been growing in recent years, with each tool contributing new ways to create and work with visualizations, and each offering a specialized set of features, interaction metaphors ...
  • The Py3DViewer Project: A Python Library for fast Prototyping in Geometry Processing 

    Cherchi, Gianmarco; Pitzalis, Luca; Frongia, Giovanni Laerte; Scateni, Riccardo (The Eurographics Association, 2019)
    Fast research and prototyping, nowadays, is shifting towards languages that allow interactive execution and quick changes. Python is very widely used for rapid prototyping. We introduce Py3DViewer, a new Python library ...
  • Relief Pattern Segmentation Using 2D-Grid Patches on a Locally Ordered Mesh Manifold 

    Tortorici, Claudio; Vreshtazi, Denis; Berretti, Stefano; Werghi, Naoufel (The Eurographics Association, 2019)
    The mesh manifold support has been analyzed to perform several different tasks. Recently, it emerged the need for new methods capable of analyzing relief patterns on the surface. In particular, a new and not investigated ...
  • Yocto/GL: A Data-Oriented Library For Physically-Based Graphics 

    Pellacini, Fabio; Nazzaro, Giacomo; Carra, Edoardo (The Eurographics Association, 2019)
    In this paper we present Yocto/GL, a software library for computer graphics research and education. The library is written in C++ and targets execution on the CPU, with support for basic math, geometry and imaging utilities, ...
  • Mapping Grey-Levels on 3D Segmented Anatomical districts 

    Paccini, Martina; Patané, Giuseppe; Spagnuolo, Michela (The Eurographics Association, 2019)
    The study aims to perform a simple but effective integration of geometric information of segmented 3D bones' surface and density information provided by volume MRI (Magnetic Resonance Imaging). Such a representation method ...
  • MLIC-Synthetizer: a Synthetic Multi-Light Image Collection Generator 

    Dulecha, Tinsae Gebrechristos; Dall'Alba, Andrea; Giachetti, Andrea (The Eurographics Association, 2019)
    We present MLIC-Synthetizer, a Blender plugin specifically designed for the generation of a syntethic Multi-Light Image Collection using physically-based rendering. This tool makes easy to generate large amount of test ...
  • Computational Fabrication of Macromolecules to Enhance Perception and Understanding of Biological Mechanisms 

    Alderighi, Thomas; Giorgi, Daniela; Malomo, Luigi; Cignoni, Paolo; Zoppè, Monica (The Eurographics Association, 2019)
    We propose a fabrication technique for the fast and cheap production of 3D replicas of proteins. We leverage silicone casting with rigid molds, to produce flexible models which can be safely extracted from the mold, and ...
  • Design and Implementation of a Visualization Tool for the in-depth Analysis of the Domestic Electricity Consumption 

    Merlin, Gabriele; Ortu, Daniele; Cherchi, Gianmarco; Scateni, Riccardo (The Eurographics Association, 2019)
    In this poster, we present a visualization tool for the in-depth analysis of domestic electricity consumption. The web-interface allows users to visualize their electricity consumption, compare them with their own records ...
  • Motion Data and Model Management for Applied Statistical Motion Synthesis 

    Herrmann, Erik; Du, Han; Antakli, André; Rubinstein, Dmitri; Schubotz, René; Sprenger, Janis; Hosseini, Somayeh; Cheema, Noshaba; Zinnikus, Ingo; Manns, Martin; Fischer, Klaus; Slusallek, Philipp (The Eurographics Association, 2019)
    Machine learning based motion modelling methods such as statistical modelling require a large amount of input data. In practice, the management of the data can become a problem in itself for artists who want to control the ...
  • Visual Representation of Region Transitions in Multi-dimensional Parameter Spaces 

    Fernandes, Oliver; Frey, Steffen; Reina, Guido; Ertl, Thomas (The Eurographics Association, 2019)
    We propose a novel visual representation of transitions between homogeneous regions in multi-dimensional parameter space. While our approach is generally applicable for the analysis of arbitrary continuous parameter spaces, ...
  • Interactive Animation of Single-layer Cumulus Clouds Using Cloud Map 

    Goswami, Prashant (The Eurographics Association, 2019)
    In this paper, we present a physics-driven procedural method for the interactive animation of realistic, single-layered cumulus clouds for the landscape-scale size. Our method employs the coarse units called parcels for ...
  • Split and Mill: User Assisted Height-field Block Decomposition for Fabrication 

    Muntoni, Alessandro; SPANO, LUCIO DAVIDE; Scateni, Riccardo (The Eurographics Association, 2019)
    We present here Split and Mill: an interactive system for the manual volume decomposition of free form shapes. Our primary purpose is to generate portions respecting the properties allowing to mill them with a 3-axis milling ...
  • 3DReg-i-Net: Improving Deep Learning Based 3D Registration for a Robust Real-time Alignment of Small-scale Scans 

    Lombardi, Marco; Riccardi, Andrea; Savardi, Mattia; Signoroni, Alberto (The Eurographics Association, 2019)
    We present 3DReg-i-Net, an improved deep learning solution for pairwise registration of 3D scans, which evolves the recently proposed 3DRegNet technique by Pais et al. This is one of the very first learning based algorithm ...
  • Feature-based Characterisation of Patient-specific 3D Anatomical Models 

    Banerjee, Imon; Paccini, Martina; Ferrari, Enrico; CATALANO, CHIARA EVA; Biasotti, Silvia; Spagnuolo, Michela (The Eurographics Association, 2019)
    This paper aims to examine the potential of 3D shape analysis integrated to machine learning techniques in supporting medical investigation. In particular, we introduce an approach specially designed for the characterisation ...
  • Immersive Environment for Creating, Proofreading, and Exploring Skeletons of Nanometric Scale Neural Structures 

    Boges, Daniya; Calì, Corrado; Magistretti, Pierre J.; Hadwiger, Markus; Sicat, Ronell; Agus, Marco (The Eurographics Association, 2019)
    We present a novel immersive environment for the exploratory analysis of nanoscale cellular reconstructions of rodent brain samples acquired through electron microscopy. The system is focused on medial axis representations ...
  • HT-based Recognition of Patterns on 3D Shapes Using a Dictionary of Mathematical Curves 

    Romanengo, Chiara; Biasotti, Silvia; FALCIDIENO, BIANCA (The Eurographics Association, 2019)
    Characteristic curves play a fundamental role in the way a shape is perceived and illustrated. To address the curve recognition problem on surfaces, we adopt a generalisation of the Hough Transform (HT) which is able to ...
  • MTV-Player: Interactive Spatio-Temporal Exploration of Compressed Large-Scale Time-Varying Rectilinar Scalar Volumes 

    Díaz, Jose; Marton, Fabio; Gobbetti, Enrico (The Eurographics Association, 2019)
    We present an approach for supporting fully interactive exploration of massive time-varying rectilinear scalar volumes on commodity platforms. We decompose each frame into a forest of bricked octrees. Each brick is further ...
  • A Visualization Tool for Scholarly Data 

    Salinas, Mario; GIORGI, DANIELA; Ponchio, Federico; Cignoni, Paolo (The Eurographics Association, 2019)
    We propose ReviewerNet, an online, interactive visualization system aimed to improve the reviewer selection process in the academic domain. Given a paper submitted for publication, we assume that good candidate reviewers ...
  • STAG 2019: Frontmatter 

    Agus, Marco; Corsini, Massimiliano; Pintus, Ruggero (Eurographics Association, 2019)