399 Works

HTC Vive Pro Time Performance Benchmark for Scientific Research

Morgan Le Chénéchal & Jonas Chatel Goldman
Widespread availability of consumer-level virtual reality (VR) devices creates a venue for their massive use in psychology and neuroscience research. The application of VR to scientific research however poses significant constraints on system performance and stability. In particular, studies with multimodal measurement of human behavior and physiology require precise hardwaresoftware synchronization with precise event labeling (within 10 milliseconds). Previous works investigating suitability of VR systems for research have mainly focused on benchmarking performance in spatial...

Touch the Time: Touch-Centered Interaction Paradigms for Time-Oriented Data

Patrick Riehmann, Joshua Reibert, Jens Opolka & Bernd Froehlich
We present novel direct-touch centered paradigms for exploring time series data visualized in a coordinated multi-view display. The views can be easily and flexibly configured by choosing from various adapted or enhanced time-oriented visualizations. A vocabulary of robust direct-touch gestures enables the user to create, filter, derive, and focus on subsets of time-oriented data within the temporal dimension as well as the (data) records dimension. Our two-dimensional Focus&Context technique works particularly well with our extension...

Clustering for Stacked Edge Splatting

Moataz Abdelaal, Marcel Hlawatsch, Michael Burch & Daniel Weiskopf
We present a time-scalable approach for visualizing dynamic graphs. By adopting bipartite graph layouts known from parallel edge splatting, individual graphs are horizontally stacked by drawing partial edges, leading to stacked edge splatting. This allows us to uncover the temporal patterns together with achieving time-scalability. To preserve the graph structural information, we introduce the representative graph where edges are aggregated and drawn at full length. The representative graph is then placed on the top of...

SoS TextVis: A Survey of Surveys on Text Visualization

Mohammad Alharbi & Robert S. Laramee
Text visualization is a rapidly growing sub-field of information visualization and visual analytics. There are many approaches and techniques introduced every year to address a wide range of tasks and enable researchers from different disciplines to obtain leading-edge knowledge from digitized collections. This can be challenging particularly when the data is massive. Additionally, the sources of digital text have spread substantially in the last decades in various forms, such as web pages, blogs, twitter, email,...

EuroRV3 2018: Frontmatter

Kai Lawonn, Noeska Smit, Lars Linsen & Robert Kosara

Knee Up: an Exercise Game for Standing Knee Raises by Motion Capture with RGB-D Sensor

D. Kiziltas & U. Celikcan
In this work, we present the design and the implementation of Knee Up, an exergame that promotes knee health via standing knee raises exercises. It allows users to exercise at home and perform the exercise in a gaming environment. By motion capture using RGB-D data, estimated positions of the user's skeletal joints are acquired and processed in real-time. For the game, 3D virtual environments have been created with gamification elements so that users can enjoy...

Web-based Volume Rendering using Progressive Importance-based Data Transfer

Finian Mwalongo, Michael Krone, Guido Reina & Thomas Ertl
WebGL 2.0 makes it possible to implement efficient volume rendering that runs in browsers using 3D textures and complex fragment shaders. However, a typical bottleneck for web-based volume rendering is the size of the volumetric data sets. Transferring these data to the client for rendering can take a substantial amount of time, depending on the network speed. This can introduce latency that can in turn affect interactive rendering at the client. We address this challenge...

Direct Limit Volumes: Constant-Time Limit Evaluation for Catmull-Clark Solids

Christian Altenhofen, Joel Müller, Daniel Weber, André Stork & Dieter W. Fellner
We present a novel approach for efficient limit volume evaluation on Catmull-Clark (CC) subdivision solids. Although several analogies exist between subdivision surfaces and subdivision volumes, extending Stam's limit evaluation technique from 2 to 3 dimensions is not straightforward, as irregularities and boundaries introduce new challenges in the volumetric case. We present new direct evaluation techniques for irregular volumetric topologies and boundary cells, which allow for calculating the limit of CC subdivision solids at arbitrary parameter...

Deep Learning for Graphics

Niloy J. Mitra, Tobias Ritschel, Iasonas Kokkinos, Paul Guerrero, Vladimir Kim, Konstantinos Rematas & Ersin Yumer
In computer graphics, many traditional problems are now better handled by deep-learning based data-driven methods. In applications that operate on regular 2D domains, like image processing and computational photography, deep networks are state-of-the-art, beating dedicated hand-crafted methods by significant margins. More recently, other domains such as geometry processing, animation, video processing, and physical simulations have benefited from deep learning methods as well. The massive volume of research that has emerged in just a few years...

Gradient Field Estimation on Triangle Meshes

C. Mancinelli, M. Livesu & E. Puppo
The estimation of the differential properties of a function sampled at the vertices of a discrete domain is at the basis of many applied sciences. In this paper, we focus on the computation of function gradients on triangle meshes. We study one face-based method (the standard the facto), plus three vertex based methods. Comparisons regard accuracy, ability to perform on different domain discretizations, and efficiency. We performed extensive tests and provide an in-depth analysis of...

Completion of Cultural Heritage Objects with Rotational Symmetry

Ivan Sipiran
Archaeological artifacts are an important part of our cultural heritage. They help us understand how our ancestors used to live. Unfortunately, many of these objects are badly damaged by the passage of time and need repair. If the object exhibits some form of symmetry, it is possible to complete the missing regions by replicating existing parts of the object. In this paper, we present a framework to complete 3D objects that exhibit rotational symmetry. Our...

A Prototype of a Scalable Multi-GPU Molecular Dynamics Simulator for Large Molecular Systems

Gonzalo Nicolas-Barreales, Marcos Novalbos, Miguel Ángel Otaduy & Alberto Sánchez
Parallel architectures, in the form of multi-core or multiple computers, have produced a major impact in the field of information technology. GPU devices, as an extreme example of parallel architectures, have been adapted to enable generic computation in massively parallel architectures. Molecular dynamics is a problem that fits perfectly such architectures, as it relies on the computation of many similar interactions between atoms. Moreover, large molecular systems require resources that exceed those available in a...

Local Models for Data Driven Inverse Kinematics of Soft Robots

Fredrik Holsten, Sune Darkner, Morten P. Engell-Nørregård & Kenny Erleben
Soft robots are attractive because they have the potential of being safer, faster and cheaper than traditional rigid robots. If we can predict the shape of a soft robot for a given set of control parameters, then we can solve the inverse problem: to find an optimal set of control parameters for a given shape. This work takes a data-driven approach to create multiple local inverse models. This has two benefits: (1) We overcome the...

Aging Prediction of Cultural Heritage Samples Based on Surface Microgeometry

Irina Mihaela Ciortan, Giacomo Marchioro, Claudia Daffara, Ruggero Pintus, Enrico Gobbetti & Andrea Giachetti
A critical and challenging aspect for the study of Cultural Heritage (CH) assets is related to the characterization of the materials that compose them and to the variation of these materials with time. In this paper, we exploit a realistic dataset of artificially aged metallic samples treated with different coatings commonly used for artworks' protection in order to evaluate different approaches to extract material features from high-resolution depth maps. In particular, we estimated, on microprofilometric...

Accurate Control of a Pan-tilt System Based on Parameterization of Rotational Motion

JungHyun Byun, SeungHo Chae & TackDon Han
A pan-tilt camera system has been adopted by a variety of fields since it can cover a wide range of region compared to a single fixated camera setup. Yet many studies rely on factory-assembled and calibrated platforms and assume an ideal rotation where rotation axes are perfectly aligned with the optical axis of the local camera. However, in a user-created setup where a pan-tilting mechanism is arbitrarily assembled, the kinematic configurations may be inaccurate or...

Hierarchical Additive Poisson Disk Sampling

Alexander Dieckmann & Reinhard Klein
Generating samples of point clouds and meshes with blue noise characteristics is desirable for many applications in rendering and geometry processing. Working with laser-scanned or lidar point clouds, we usually find region with artifacts called scanlines and scan-edges. These regions are problematic for geometry processing applications, since it is not clear how many points should be selected to define a proper neighborhood. We present a method to construct a hierarchical additive poisson disk sampling from...

PterosaVR MUVHN: una aplicación para la reconstrucción virtual de Tropeognathus mesembrinus

Tonny Ruiz-Gijón, Marcos Gutiérrez Cubells, Borja Holgado, Hugo Salais López, María Vidal-González & Anna García Forner
Tanto el paleoarte como las nuevas tecnologías suponen herramientas muy útiles y visualmente atractivas para la representación de la vida extinta. En este proyecto, ambas disciplinas han sido combinadas en el desarrollo de una aplicación móvil que permite, mediante el uso de un casco de realidad virtual, asistir a la reconstrucción del pterosaurio Tropeognathus mesembrinus, paseando a través de tres niveles anatómicos: el esqueleto, la musculatura y el aspecto externo. La reconstrucción culmina con una...

A Unified Manifold Framework for Efficient BRDF Sampling based on Parametric Mixture Models

Sebastian Herholz, Oskar Elek, Jens Schindel, Jaroslav Křivánek & Hendrik P. A. Lensch
Virtually all existing analytic BRDF models are built from multiple functional components (e.g., Fresnel term, normal distribution function, etc.). This makes accurate importance sampling of the full model challenging, and so current solutions only cover a subset of the model's components. This leads to sub-optimal or even invalid proposed directional samples, which can negatively impact the efficiency of light transport solvers based on Monte Carlo integration. To overcome this problem, we propose a unified BRDF...

A Procedural Approach for Thermal Visualization on Buildings

David Muñoz, Gonzalo Besuievsky & Gustavo A. Patow
Thermal behaviour analysis on buildings is an important goal for all tasks involving energy flow simulation in urban environments. One of the most widely used simplified thermal models is based on an electrical analogy, where nodes are set to simulate and solve a circuit network. In this paper we propose a procedural approach for automatically locate the nodes of the circuit, according to the building structure. We provide a conceptual technique to efficiently visualize thermal...

A Virtual Space with Real IoT Data

Adam Faiers, Thomas Hoxey & Ian Stephenson
Large quantities of live data about an environment can be easily and cheaply collected using a network of small sensors (IoT). However these sensors typically do not display any information directly, and it can be difficult to understand the data collected. Conversely VR environments used for training, require scenarios to be created, populated with rich data. By linking the VR system directly to the IoT data broker we import the live (or recorded) status of...

Usability of Augmented Reality in Aeronautic Maintenance, Repair and Overhaul

Antoine Fischini, Fakhreddine Ababsa & Mickaël Grasser
Augmented Reality (AR) is a strong growing research topic in several areas including industry, training, art and entertainment. AR can help users to achieve very complex tasks by enhancing their vision with useful and well-adapted information. This paper deals with evaluating the usability of AR in aeronautic maintenance training tasks. A case study in the on-site maintenance department was conducted using an augmented reality application, involving operators at several levels of expertise. Obtained results highlighted...

Equivalent Physical Constant Hypothesis for Skill Transmission in Scale Conversion Telexistence

Hiroki Miyamoto, Masahiro Furukawa, Kosuke Wada, Masataka Kurokawa, Kohei Matsumoto & Taro Maeda
Scale conversion telexistence can have an inconsistency in the motions of a human and robot of different scales. We assumed that the inconsistency is caused by the different apparent physical constants for the human and robot. We propose an equivalent physical constant hypothesis for motion skill transmission, which we verified experimentally by transmitting the standing-up movement of a human to a small robot. The robot successfully managed to stand up by compensating for the gravity....

Simplification of Shapes for Fabrication with V-Groove Milling Tools

A. Muntoni, A. Scalas, S. Nuvoli & R. Scateni
We introduce here a pipeline for simplifying digital 3D shapes with the aim of fabricating them using 2D polygonal flat parts. Our method generates shapes that, once unfolded, can be fabricated with CNC milling machines using special tools called V-Grooves. These tools make V-shaped furrows at given angles depending on the shape of the used tool. Milling the edges of each flat facet simplifies the manual assembly that consists only in folding the facets at...

Progressive and Efficient Multi-Resolution Representations for Brain Tractograms

Corentin Mercier, Pietro Gori, Damien Rohmer, Marie-Paule Cani, Tamy Boubekeur, Jean-Marc Thiery & Isabelle Bloch
Current tractography methods generate tractograms composed of millions of 3D polylines, called fibers, making visualization and interpretation extremely challenging, thus complexifying the use of this technique in a clinical environment. We propose to progressively simplify tractograms by grouping similar fibers into generalized cylinders. This produces a fine-grained multiresolution model that provides a progressive and real-time navigation through different levels of detail. This model preserves the overall structure of the tractogram and can be adapted to...

GPU-Assisted Scatterplots for Millions of Call Events

Dylan Rees, Richard C. Roberts, Robert S. Laramee, Paul Brookes, Tony D'Cruze & Gary A. Smith
With four percent of the working population employed in call centers in both the United States and the UK, the contact center industry represents a sizable proportion of modern industrial landscapes. As with most modern industries, data collection is de rigueur, producing gigabytes of call records that require analysis. The scatterplot is a well established and understood form of data visualization dating back to the 17th century. In this paper we present an application for...

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