635 Works

Virtual Reality Callouts - Demonstrating Knowledge With Spatial-Related Textual Information

Robin Horst, Anika Degreif, Marvin Mathy & Ralf Dörner
Virtual (VR) and augmented reality (AR) can bring an added value during the demonstration of knowledge, as for example within an interactive research demo. Callouts are strings of text which are connected by a line to a specific feature of an object. These visual annotations can be used during such demos and can be placed in different kinds of media, such as illustrations, technical drawings, images and videos. Callouts are also used in virtual 3D...

ReVize: A Library for Visualization Toolchaining with Vega-Lite

Marius Hogräfer & Hans-Jörg Schulz
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 and user interfaces. This means on one hand that users have a wide choice in visualization tools. On the other hand, though, this choice might also lock-in the user: Once made, it becomes difficult and sometimes even impossible to switch...

The Py3DViewer Project: A Python Library for fast Prototyping in Geometry Processing

Gianmarco Cherchi, Luca Pitzalis, Giovanni Laerte Frongia & Riccardo Scateni
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 that allows researchers to quickly prototype geometry processing algorithms by interactively editing and viewing meshes. Polygonal and polyhedral meshes are both supported. The library is designed to be used in conjunction with Jupyter environments, which allow interactive Python code execution and data visualization in...

Yocto/GL: A Data-Oriented Library For Physically-Based Graphics

Fabio Pellacini, Giacomo Nazzaro & Edoardo Carra
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, path tracing and file IO. What distinguishes Yocto/GL from other similar projects is its minimalistic design and data-oriented programming style, which makes the library readable, extendible, and efficient. We developed Yocto/GL to meet our need, as a research group,...

Relief Pattern Segmentation Using 2D-Grid Patches on a Locally Ordered Mesh Manifold

Claudio Tortorici, Denis Vreshtazi, Stefano Berretti & Naoufel Werghi
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 problem is that of segmenting the surface according to the presence of different relief patterns. In this paper, we introduce this problem and propose a new approach for segmenting such relief patterns (also called geometric texture) on the mesh-manifold. Operating...

Mapping Grey-Levels on 3D Segmented Anatomical districts

Martina Paccini, Giuseppe Patané & Michela Spagnuolo
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 could support diagnosis process, biomedical simulation, computed assisted surgery and prosthesis fitting. The input consists of a volume MRI of a carpal district and the corresponding 3D surface model. The algorithm superimposes image and surface, and, once found the image voxel correspondent to...

MLIC-Synthetizer: a Synthetic Multi-Light Image Collection Generator

Tinsae Gebrechristos Dulecha, Andrea Dall'Alba & Andrea Giachetti
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 data that can be useful for Photometric Stereo algorithms evaluation, validation of Reflectance Transformation Imaging calibration and processing method, relighting methods and more. Multi-pass rendering allows the generation of images with associated shadows and specularity ground truth maps, ground truth normals and material segmentation masks....

Computational Fabrication of Macromolecules to Enhance Perception and Understanding of Biological Mechanisms

Thomas Alderighi, Daniela Giorgi, Luigi Malomo, Paolo Cignoni & Monica Zoppè
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 easily manipulated to simulate the biological interaction mechanisms between proteins. We believe that tangible models can be useful in education as well as in laboratory settings, and that they will ease the understanding of fundamental principles of macromolecular organization.

Design and Implementation of a Visualization Tool for the in-depth Analysis of the Domestic Electricity Consumption

Gabriele Merlin, Daniele Ortu, Gianmarco Cherchi & Riccardo Scateni
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 or with the means of selected communities.

Visual Representation of Region Transitions in Multi-dimensional Parameter Spaces

Oliver Fernandes, Steffen Frey, Guido Reina & Thomas Ertl
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, we particularly focus on scientific applications, like physical variables in simulation ensembles. To generate our representation, we use unsupervised learning to cluster the ensemble members according to their mutual similarity. In doing this, clusters are sorted such that similar clusters are located next to each other....

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 & Philipp Slusallek
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 quality of the motion models. As a solution to this problem, we present a motion data and model management system and integrate it with a statistical motion modelling pipeline. The system is based on a data storage server...

Interactive Animation of Single-layer Cumulus Clouds Using Cloud Map

Prashant Goswami
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 the physics simulation and achieves procedural micro-level volumetric amplification based on the macro physics parameters. However, contrary to the previous methods which achieve amplification directly inside the parcels, we make use of the two-dimensional texture called cloud maps to this end. This not only...

Split and Mill: User Assisted Height-field Block Decomposition for Fabrication

Alessandro Muntoni, Lucio Davide Spano & Riccardo Scateni
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 machine. We show that a manual decomposition is competitive with the automatic partitioning when the user is skilled enough. We, thus, think that our tool can be beneficial for the practitioners in the field, and we release it as...

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 & Alberto Signoroni
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 aiming at producing the co-registration of two 3D views starting solely from a set of point correspondences, which is able to perform outlier rejection and to recover the registration matrix. We evolve the original method to face the challenging scenario...

Feature-based Characterisation of Patient-specific 3D Anatomical Models

Imon Banerjee, Martina Paccini, Enrico Ferrari, Chiara Eva Catalano, Silvia Biasotti & Michela Spagnuolo
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 of anatomical landmarks on patient-specific 3D carpal bone models represented as triangular meshes. Furthermore, to identify functional articulation regions, two novel district-based properties are defined. The performance of both state of the art and novel features has been evaluated in a machine learning setting...

HT-based Recognition of Patterns on 3D Shapes Using a Dictionary of Mathematical Curves

Chiara Romanengo, Silvia Biasotti & Bianca Falcidieno
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 deal with mathematical curves. In particular, we extend the set of curves so far adopted for curve recognition with the HT and propose a new dictionary of curves to be selected as templates. In addition, we introduce rules of...

Immersive Environment for Creating, Proofreading, and Exploring Skeletons of Nanometric Scale Neural Structures

Daniya Boges, Corrado Calì, Pierre J. Magistretti, Markus Hadwiger, Ronell Sicat & Marco Agus
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 (skeletons) of branched and tubular structures of brain cells, and it is specifically designed for: i) effective semi-automatic creation of skeletons from surface-based representations of cells and structures, ii) fast proofreading, i.e., correcting and editing of semi-automatically constructed skeleton representations, and iii) useful exploration, i.e.,...

A Visualization Tool for Scholarly Data

Mario Salinas, Daniela Giorgi, Federico Ponchio & Paolo Cignoni
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 can be chosen among the authors of a small set of pertinent papers; ReviewerNet supports the construction of such set of papers, by visualizing and exploring a literature citation network. Then, the system helps to select reviewers that are both well distributed in the...

MTV-Player: Interactive Spatio-Temporal Exploration of Compressed Large-Scale Time-Varying Rectilinar Scalar Volumes

Jose Díaz, Fabio Marton & Enrico Gobbetti
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 subdivided into smaller blocks, which are compactly approximated by quantized variable-length sparse linear combinations of prototype blocks stored in a data-dependent dictionary learned from the input sequence. This variable bit-rate compact representation, obtained through a tolerance-driven learning and approximation process, is stored in...

STAG 2019: Frontmatter

Marco Agus, Massimiliano Corsini & Ruggero Pintus

Experiencing Art by Means of 3D Printed Replicas: Enriching the Interpretation of Pot Oiseau

Myrsini Samaroudi & Karina Rodriguez Echavarria
Digitally fabricated artefacts or 3D replicas have the potential to enrich the interpretation of cultural assets by enhancing visitors' engagement with collections. However, it is still not well understood how replicas work as interpretative means and what are the actual visitors' attitudes towards them. The contribution of this paper is the development and evaluation of a 3D replica within a realistic interpretative scenario. This research deploys a case study focusing on a 3D printed pot...

Approximate Reconstruction of 3D Scenes From Bas-Reliefs

Pierre Casati, Rémi Ronfard & Stefanie Hahmann
For thousands of years, bas-reliefs have been used to depict scenes of everyday life, mythology and historic events. Yet, the precise geometry of those scenes remains difficult to interpret and reconstruct. Over the past decade, methods have been developed for generating bas-reliefs from 3D scenes. In this paper, we investigate the inverse problem of interpreting and reconstructing 3D scenes from their bas-relief depictions. Even approximate reconstructions can be useful for art historians and museum exhibit...

Preserving Ceramic Industrial Heritage Through Digital Technologies

Karina Rodriguez Echavarria, Tim Weyrich & Neil Brownsword
World-renowned for its perfection of Bone China and underglaze blue printing techniques, the historic Spode Works in Stokeon- Trent was one of the few ceramic factories in Britain to have operated continuously on its original site until the company ceased trading in 2008. Since then the site has undergone many transitions with much of its former production infrastructure being discarded. Currently the site holds an estimated 70,000 moulds once used in ceramic production dating from...

Motif-driven Retrieval of Greek Painted Pottery

Stefan Lengauer, Alexander Komar, Arniel Labrada, Stephan Karl, Elisabeth Trinkl, Reinhold Preiner, Benjamin Bustos & Tobias Schreck
The analysis of painted pottery is instrumental for understanding ancient Greek society and human behavior of past cultures in Archaeology. A key part of this analysis is the discovery of cross references to establish links and correspondences. However, due to the vast amount of documented images and 3D scans of pottery objects in today's domain repositories, manual search is very time consuming. Computer aided retrieval methods are of increasing importance. Mostly, current retrieval systems for...

End-to-end Color 3D Reproduction of Cultural Heritage Artifacts: Roseninsel Replicas

Matevz Domajnko, Tejas Tanksale, Reimar Tausch, Martin Ritz, Martin Knuth, Pedro Santos & Dieter W. Fellner
Planning exhibitions of cultural artifacts is always challenging. Artifacts can be very sensitive to the environment and therefore their display can be risky. One way to circumvent this is to build replicas of these artifacts. Here, 3D digitization and reproduction, either physical via 3D printing or virtual, using computer graphics, can be the method of choice. For this use case we present a workflow, from photogrammetric acquisition in challenging environments to representation of the acquired...

Registration Year

  • 2018
  • 2019

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