Online Event, October 28 – 29, 2021


Geometry
Straightedge and Compass Constructions on Surfaces
Claudio Mancinelli and Enrico Puppo
A Geometric Approach for Computing the Kernel of a Polyhedron
Tommaso Sorgente, Silvia Biasotti, and Michela Spagnuolo
Reposing and Retargeting Unrigged Characters with Intrinsic-extrinsic Transfer
Pietro Musoni, Riccardo Marin, Simone Melzi, and Umberto Castellani
LengthNet: Length Learning for Planar Euclidean Curves
Barak Or and Ido Amos
Modeling, Reconstruction, and Applications
3D Modeling and Integration of Heterogeneous Geo-data
Marianna Miola, Daniela Cabiddu, Simone Pittaluga, Michela Mortara, Marino Vetuschi Zuccolini, and Gianmario Imitazione
3D City Reconstruction from OpenStreetMap Data
Sara Kaszuba and Fabio Pellacini
IMGD: Image-based Multiscale Global Descriptors of Airborne LiDAR Point Clouds Used for Comparative Analysis
Jaya Sreevalsan-Nair, Pragyan Mohapatra, and Satendra Singh
SlowDeepFood: a Food Computing Framework for Regional Gastronomy
Nauman Ullah Gilal, Khaled Al-Thelaya, Jens Schneider, James She, and Marco Agus
Short Papers 1: Rendering and Visualization
Guiding Lens-based Exploration using Annotation Graphs
Moonisa Ahsan, Fabio Marton, Ruggero Pintus, and Enrico Gobbetti
Mesh Colours for Gradient Meshes
Sarah D. Baksteen, Gerben J. Hettinga, Jose Echevarria, and Jiri Kosinka
Remote Volume Rendering with a Decoupled, Ray-Traced Display Phase
Stefan Zellmann
A High Quality 3D Controller for Mobile and Desktop Web Applications
Daniele Fornari, Luigi Malomo, and Paolo Cignoni
Augmented and Virtual Reality
STRONGER: Simple TRajectory-based ONline GEsture Recognizer
Marco Emporio, Ariel Caputo, and Andrea Giachetti
Pen2VR: A Smart Pen Tool Interface for Wire Art Design in VR
Wanwan Li
Exploring Upper Limb Segmentation with Deep Learning for Augmented Virtuality
Monica Gruosso, Nicola Capece, and Ugo Erra
Visualization
Efficient Image Vectorisation Using Mesh Colours
Gerben Jan Hettinga, Jose Echevarria, and Jiri Kosinka
Visual Analysis of Popping in Progressive Visualization
Ethan Waterink, Jiri Kosinka, and Steffen Frey
An Information-theoretic Visual Analysis Framework for Convolutional Neural Networks
Jingyi Shen and Han-Wei Shen
Short Papers 2: Miscellanea
Approximating Shapes with Standard and Custom 3D Printed LEGO Bricks
Filippo Andrea Fanni, Alberto Dal Bello, Simone Sbardellini, and Andrea Giachetti
ProtoSketchAR: Prototyping in Augmented Reality via Sketchings
Simone Arriu, Gianmarco Cherchi, and Lucio Davide Spano
Evaluating Deep Learning Methods for Low Resolution Point Cloud Registration in Outdoor Scenarios
Arslan Siddique, Massimiliano Corsini, Fabio Ganovelli, and Paolo Cignoni

Recent Submissions

  • Evaluating Deep Learning Methods for Low Resolution Point Cloud Registration in Outdoor Scenarios 

    Siddique, Arslan; Corsini, Massimiliano; Ganovelli, Fabio; Cignoni, Paolo (The Eurographics Association, 2021)
    Point cloud registration is a fundamental task in 3D reconstruction and environment perception. We explore the performance of modern Deep Learning-based registration techniques, in particular Deep Global Registration (DGR) ...
  • ProtoSketchAR: Prototyping in Augmented Reality via Sketchings 

    Arriu, Simone; Cherchi, Gianmarco; Spano, Lucio Davide (The Eurographics Association, 2021)
    Prototyping is a widely used technique in the early stages of system design, and it is an essential part of a new product development process. During this phase, designers identify the main functionalities, concepts and ...
  • Approximating Shapes with Standard and Custom 3D Printed LEGO Bricks 

    Fanni, Filippo Andrea; Dal Bello, Alberto; Sbardellini, Simone; Giachetti, Andrea (The Eurographics Association, 2021)
    In this paper, we present a work-in-progress aimed at developing a pipeline for the fabrication of shapes reproducing digital models with a combination of standard LEGO bricks and 3D printed custom elements. The pipeline ...
  • Visual Analysis of Popping in Progressive Visualization 

    Waterink, Ethan; Kosinka, Jiri; Frey, Steffen (The Eurographics Association, 2021)
    Progressive visualization allows users to examine intermediate results while they are further refined in the background. This makes them increasingly popular when dealing with large data and computationally expensive tasks. ...
  • An Information-theoretic Visual Analysis Framework for Convolutional Neural Networks 

    Shen, Jingyi; Shen, Han-Wei (The Eurographics Association, 2021)
    Despite the great success of Convolutional Neural Networks (CNNs) in Computer Vision and Natural Language Processing, the working mechanism behind CNNs is still under extensive discussion and research. Driven by strong ...
  • Efficient Image Vectorisation Using Mesh Colours 

    Hettinga, Gerben Jan; Echevarria, Jose; Kosinka, Jiri (The Eurographics Association, 2021)
    Image vectorisation methods proposed in the past have not seen wide adoption due to performance, quality, controllability, and/or generality issues.We present a vectorisation method that uses mesh colours as a vector ...
  • Pen2VR: A Smart Pen Tool Interface for Wire Art Design in VR 

    Li, Wanwan (The Eurographics Association, 2021)
    In this paper, we present Pen2VR: a smart pen tool interface for 3D drawing wire art design in VR. In Pen2VR, with VR headsets put on, users are allowed to create their VR drawings as 3D lines or curves in a virtual space ...
  • Exploring Upper Limb Segmentation with Deep Learning for Augmented Virtuality 

    Gruosso, Monica; Capece, Nicola; Erra, Ugo (The Eurographics Association, 2021)
    Sense of presence, immersion, and body ownership are among the main challenges concerning Virtual Reality (VR) and freehand-based interaction methods. Through specific hand tracking devices, freehand-based methods can allow ...
  • Guiding Lens-based Exploration using Annotation Graphs 

    Ahsan, Moonisa; Marton, Fabio; Pintus, Ruggero; Gobbetti, Enrico (The Eurographics Association, 2021)
    We introduce a novel approach for guiding users in the exploration of annotated 2D models using interactive visualization lenses. Information on the interesting areas of the model is encoded in an annotation graph generated ...
  • STRONGER: Simple TRajectory-based ONline GEsture Recognizer 

    Emporio, Marco; Caputo, Ariel; Giachetti, Andrea (The Eurographics Association, 2021)
    In this paper, we present STRONGER, a client-server solution for the online gesture recognition from captured hands' joints sequences. The system leverages a CNN-based recognizer improving current state-of-the-art solutions ...
  • A High Quality 3D Controller for Mobile and Desktop Web Applications 

    Fornari, Daniele; Malomo, Luigi; Cignoni, Paolo (The Eurographics Association, 2021)
    The interaction between a 2D input device (like a mouse or a touchscreen) and a 3D object on the screen with the purpose of examining it in detail is a well-studied interaction problem. The inherent difference in degrees ...
  • Mesh Colours for Gradient Meshes 

    Baksteen, Sarah D.; Hettinga, Gerben J.; Echevarria, Jose; Kosinka, Jiri (The Eurographics Association, 2021)
    We present an extension of the popular gradient mesh vector graphics primitive with the addition of mesh colours, aiming to reduce the mesh complexity needed to describe intricate colour gradients and textures. We present ...
  • Remote Volume Rendering with a Decoupled, Ray-Traced Display Phase 

    Zellmann, Stefan (The Eurographics Association, 2021)
    We propose an image warping-based remote rendering technique for volumes that decouples the rendering and display phases. For that we build on prior work where we sample the volume on the client using ray casting and ...
  • SlowDeepFood: a Food Computing Framework for Regional Gastronomy 

    Gilal, Nauman Ullah; Al-Thelaya, Khaled; Schneider, Jens; She, James; Agus, Marco (The Eurographics Association, 2021)
    Food computing recently emerged as a stand-alone research field, in which artificial intelligence, deep learning, and data science methodologies are applied to the various stages of food production pipelines. Food computing ...
  • IMGD: Image-based Multiscale Global Descriptors of Airborne LiDAR Point Clouds Used for Comparative Analysis 

    Sreevalsan-Nair, Jaya; Mohapatra, Pragyan; Singh, Satendra (The Eurographics Association, 2021)
    Both geometric and semantic information are required for a complete understanding of regions acquired as three-dimensional (3D) point clouds using the Light Detection and Ranging (LiDAR) technology. However, the global ...
  • 3D Modeling and Integration of Heterogeneous Geo-data 

    Miola, Marianna; Cabiddu, Daniela; Pittaluga, Simone; Mortara, Michela; Vetuschi Zuccolini, Marino; Imitazione, Gianmario (The Eurographics Association, 2021)
    This paper tackles the volumetric representation of geophysical and geotechnical data, gathered during exploration surveys of the subsoil. The creation of a 3D model as support to geological interpretation has to take into ...
  • 3D City Reconstruction from OpenStreetMap Data 

    Kaszuba, Sara; Pellacini, Fabio (The Eurographics Association, 2021)
    Virtual city generation from real data is far from being straightforward for users, as it strictly depends on the application domain, amount of information available, and the adopted reconstruction techniques. Nowadays, ...
  • Reposing and Retargeting Unrigged Characters with Intrinsic-extrinsic Transfer 

    Musoni, Pietro; Marin, Riccardo; Melzi, Simone; Castellani, Umberto (The Eurographics Association, 2021)
    In the 3D digital world, deformations and animations of shapes are fundamental topics for several applications. The entertainment industry, virtual and augmented reality, human-robot interactions are just some examples ...
  • LengthNet: Length Learning for Planar Euclidean Curves 

    Or, Barak; Amos, Ido (The Eurographics Association, 2021)
    In this work, we used a deep learning (DL) model to solve a fundamental problem in differential geometry. One can find many closed-form expressions for calculating curvature, length, and other geometric properties in the ...
  • Straightedge and Compass Constructions on Surfaces 

    Mancinelli, Claudio; Puppo, Enrico (The Eurographics Association, 2021)
    We discuss how classical straightedge and compass constructions can be ported to manifold surfaces under the geodesic metric. After defining the equivalent tools in the manifold domain, we analyze the most common constructions ...

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