399 Works

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....

Individualized Calibration of Rotation Gain Thresholds for Redirected Walking

Courtney Hutton, Shelby Ziccardi, Julio Medina & Evan Suma Rosenberg
Redirected walking allows the exploration of large virtual environments within a limited physical space. To achieve this, redirected walking algorithms must maximize the rotation gains applied while remaining imperceptible to the user. Previous research has established population averages for redirection thresholds, including rotation gains. However, these averages do not account for individual variation in tolerance of and susceptibility to redirection. This paper investigates methodologies designed to quickly and accurately calculate rotation gain thresholds for an...

Scalable Autostereoscopic Display with Temporal Division Method

Tadatoshi Kurogi, Hideaki Nii, Roshan Lalintha Peiris & Kouta Minamizawa
Science-fiction has frequently depicted people directly interacting with life-size autostereoscopic images projected from the walls of buildings in public places. In this paper, we present a large modularized autostereoscopic display. The shape and size can be easily changed by rearranging the number of the multiple display modules. We propose a reconfigurable temporal division multiplexed autostereoscopic display module that can display aerial images. More-over, we show that the temporal division multiplexing method allows the autostereoscopic display...

A Touch Panel for Presenting Softness with Visuo-Haptic Interaction

Karen A. Murata, Erika Oishi, Takuto Nakamura, Hiroyuki Kajimoto, Nobuya Tanaka, Takahiro Sano & Masayuki Naya
This paper proposes a system capable of presenting softness using a touch panel. Many studies of touch panel-based haptic displays have developed methods for manipulating macro-roughness (shape), fine-roughness (texture), and friction. On the contrary, few studies have examined the sensation of softness. One reason for this is that to represent the spring constant of the object material, it becomes necessary to present a reaction force in the vertical direction, and this requires a large-scale device...

Feasibility Study of an Augmented Reality System for People with Dementia

Luis Duarte Andrade Ferreira, Sofia Cavaco & Sergi Bermúdez
While augmented reality (AR) can be valuable in therapy with people with dementia (PwD), when designing an AR system for PwD, it is important to understand how PwD interact with to such systems. Here we discuss an experiment that aims to study how PwD can complete a set of activities using a variety of human - computer interaction techniques in an AR environment. During our analysis, we will answer 4 research questions: (RQ1) How autonomous...

Studying Levels of Presence in a Virtual Environment Simulating Drug Use in Schools: Effect on Different Character Perspectives

Maria Christofi, Evangelia Baka, Kalliopi-Evangelia Stavroulia, Despina Michael-Grigoriou, Andreas Lanitis & Nadia Magnenat Thalmann
This paper studies the aspect of presence in a Virtual Reality (VR) environment that can be used for training purposes in the education sector and more specifically for teacher training and professional development. During the VR experience trainees had the chance to view the world from different perspectives through the eyes of different characters appearing in the scene. The experimental evaluation conducted aims to examine the effect of viewing the experience from different perspectives and...

A Study on AR Authoring using Mobile Devices for Educators

Kinfung Chu, Weiquan Lu, Kiyoshi Oka, Kazuki Takashima & Yoshifumi Kitamura
Augmented Reality (AR) on consumer devices is now commonplace and it finds application in areas like online retail and gaming. Among which, school education can especially benefit from the interactivity and expressiveness provided by AR technology, facilitating the learning process of students. Although AR-enabled hardware and applications are becoming increasingly accessible to both students and teachers, the entry requirement for AR authoring is still prohibitively high for school teachers. Given the vast variation in the...

Virtual Fixtures in VR - Perceptual Overlays for Assisted Teleoperation, Teleprogramming and Learning

Dennis Krupke, Jianwei Zhang & Frank Steinicke
Current advances in mixed reality (MR) technology achieves both, making the sensations more immersive and plausible, but also increase the utilization of these technologies in robotics. Their low-cost and the low effort to integrate such a system in complex facilities makes them interesting for industrial application. We present an efficient implementation of ''virtual fixtures'' [BR92] and the evaluation in a task of three different difficulties. Finally, it is discussed if the method is successfully implemented...

Automatic Generation of Web-Based User Studies to Evaluate Depth Perception in Vascular Surface Visualizations

Monique Meuschke, Noeska N. Smit, Nils Lichtenberg, Bernhard Preim & Kai Lawonn
User studies are often required in biomedical visualization application papers in order to provide evidence for the utility of the presented approach. An important aspect is how well depth information can be perceived, as depth encoding is important to enable an understandable representation of complex data. Unfortunately, in practice there is often little time available to perform such studies, and setting up and conducting user studies may be labor-intensive. In addition, it can be challenging...

Annotated Dendrograms for Neurons From the Larval Fruit Fly Brain

Martin Strauch, Volker Hartenstein, Ingrid V. Andrade, Albert Cardona & Dorit Merhof
Recent advances in neuroscience have made it possible to reconstruct all neurons of an entire neural circuit in the larval fruit fly brain from serial electron microscopy image stacks. The reconstructed neurons are morphologically complex 3D graphs whose nodes are annotated with labels representing different types of synapses. Here, we propose a method to draw simplified, yet realistic 2D neuron sketches of insect neurons in order to help biologists formulate hypotheses on neural function at...

Iterative Exploration of Big Brain Network Data

Florian Ganglberger, Nicolas Swoboda, Lisa Frauenstein, Joanna Kaczanowska, Wulf Haubensak & Katja Bühler
A current quest in neurscience is the understanding of how genes, structure and behavior relate to one another. In recent years, big brain-initiatives and consortia have created vast resources of publicly available brain data that can be used by neuroscientists for their own research experiments. This includes microscale connectivity data - brain-network graphs with billions of edges - whose analysis for higher order relations in structural or functional neuroanatomy together with genetic data may reveal...

Visual Analysis of Evolution of EEG Coherence Networks employing Temporal Multidimensional Scaling

Chengtao Ji, Natasha M. Maurits & Jos B. T. M. Roerdink
The community structure of networks plays an important role in their analysis. It represents a high-level organization of objects within a network. However, in many application domains, the relationship between objects in a network changes over time, resulting in the change of community structure (the partition of a network), their attributes (the composition of a community and the values of relationships between communities), or both. Previous animation or timeline-based representations either visualize the change of...

A New Vessel Enhancement Transform on Retinal Blood Vessels Segmentation

Ivo Soares, Miguel Castelo-Branco & António M. G. Pinheiro
The automatic detection of retinal blood vessels is a very important task in computer aided-diagnosis of retinal diseases. In this work a new method is proposed for the automated detection of the retinal vessels. Three new and important contributions are made. First, a new method capable of vessel enhancement is presented. Second, a new criterium to remove some false vessels caused by the proximity to bright regions is presented, avoiding the false vessels created by...

Visual Assessment of Vascular Torsion using Ellipse Fitting

Gabriel Mistelbauer, Martin Zettwitz, Rüdiger Schernthaner, Dominik Fleischmann, Christian Teutsch & Bernhard Preim
Blood vessels are well explored and researched in medicine and visualization. However, the investigation of vascular torsion has yet been unexplored. In order to understand the development and current state of a single blood vessel or even multiple connected ones, properties of vascular structures have to be analyzed. In this paper we assess the torsion of blood vessels in order to better understand their morphology. The aim of this work is to quantitatively gauge blood...

Ultrasound Decompression for Large Field-of-View Reconstructions

Christian Schulte Zu Berge, Mehrdad Salehi, Frederik Bender & Wolfgang Wein
Tracked medical ultrasound allows for cost-effective and radiation-free imaging of anatomy featuring a very high spatial resolution. To overcome the limitations of the small field-of-view, sonographers can acquire multiple adjacent sweeps and compound them into a single volumetric representation. However, due to the inherent local and non-uniform compression of the underlying anatomy (caused by the ultrasound probe) the adjacent sweeps often exhibit poor alignment and discontinuities. We propose a novel decompression model to compensate for...

GPU-based Real-time Cloth Simulation for Virtual Try-on

Tongkui Su, Yan Zhang, Yu Zhou, Yao Yu & Sidan Du
We present a novel real-time approach for dynamic detailed clothing simulation on a moving body. The most distinctive feature of our method is that it divides dynamic simulation into two parts: local driving and static cloth simulation. In local driving, feature points of clothing will be handled between two consecutive frames. And then we apply static cloth simulation for a specific frame. Both parts are ecxuted in an entire parallel way. In practice, our system...

Voronoi Tree Maps with Circular Boundaries

Abdalla G. M. Ahmed
Voronoi tree maps are an important milestone in information visualization, representing a substantial advancement of the original tree maps concept. We address a less-studied variant of Voronoi tree maps that uses multiplicative-weighted Voronoi diagrams. We highlight the merits of this variant, and discuss the difficulties that might have discouraged further exploration, proposing insights for overcoming these difficulties.

Spectrum: A C++ Header Library for Colour Map Management

Richard C. Roberts, Liam McNabb, Naif AlHarbi & Robert S. Laramee
The use of colour mapping is fundamental to visualisation research. It acts as an additional layer beyond rendering in the spatial dimensions and provides a link between values in any dataset. When designing and building visualisation research software, the process of creating and managing a colour mapping system can be time-consuming and complex. Existing alternatives offer niche features and require complex dependencies or installations. We present Spectrum; an open source colour map management library that...

Efficient Global Registration for Nominal/Actual Comparisons

Sarah Berkei, Max Limper, Christian Hörr & Arjan Kuijper
We investigate global registration methods for Nominal/Actual comparisons, using precise, high-resolution 3D scans. First we summarize existing approaches and requirements for this field of application. We then demonstrate that a basic RANSAC strategy, along with a slightly modified version of basic building blocks, can lead to a high global registration performance at moderate registration times. Specifically, we introduce a simple feedback loop that exploits the fast convergence of the ICP algorithm to efficiently speed up...

Painterly Rendering using Limited Paint Color Palettes

Thomas Lindemeier, J. Marvin Gülzow & Oliver Deussen
We present a painterly rendering method for digital painting systems as well as visual feedback based painting machines that automatically extracts color palettes from images and computes mixture recipes for these from a set of real base paint colors based on the Kubelka-Munk theory. In addition, we present a new algorithm for distributing stroke candidates, which creates paintings with sharp details and contrasts. Our system is able to predict dry compositing of thinned or thick...

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...

Combining Accumulated Frame Differencing and Corner Detection for Motion Detection

Nahlah Algethami & Sam Redfern
Detecting and tracking people in a meeting room is very important for many applications. In order to detect people in a meeting room with no prior knowledge (e.g. background model) and regardless of whether their motion is slow or significant, this paper proposes a coarse-to-fine people detection algorithm by combining a novel motion detection process, namely, adaptive accumulated frame differencing (AAFD) combined with corner features. Firstly, the region of movement is extracted adaptively using AAFD,...

Keys-to-Sim: Transferring Hand-Crafted Key-framed Animations to Simulated Figures using Wide Band Stochastic Trajectory Optimization

Dominik Borer, Martin Guay & Robert W. Sumner
The vision of fully simulating characters and their environments has the potential to offer rich interactions between characters and objects in the virtual world. However, this introduces a challenging problem similar to controlling robotic figures: computing the necessary torques to perform a given task. In this paper, we address the problem of transferring hand-crafted kinematic motions to a fully simulated figure, by computing open-loop controls necessary to reproduce the target motion. One key ingredient to...

Screen Space Particle Selection

Marcel Köster & Antonio Krüger
Analyses of large 3D particle datasets typically involve many different exploration and visualization steps. Interactive exploration techniques are essential to reveal and select interesting subsets like clusters or other sophisticated structures. State-of-the-art techniques allow for context-aware selections that can be refined dynamically. However, these techniques require large amounts of memory and have high computational complexity which heavily limits their applicability to large datasets. We propose a novel, massively parallel particle selection method that is easy...

Light-Field DVR on GPU for Streaming Time-Varying Data

David Ganter, Martin Alain, David Hardman, Aljosa Smolic & Michael Manzke
Direct Volume Rendering (DVR) of volume data can be a memory intensive task in terms of footprint and cache-coherency. Rayguided methods may not be the best option to interactively render to light-fields due to feedback loops and sporadic sampling, and pre-computation can rule out time-varying data. We present a pipelined approach to schedule the rendering of sub-regions of streaming time-varying volume data while minimising intermediate sub-buffers needed, sharing the work load between CPU and GPU....

Registration Year

  • 2018

Resource Types

  • Text