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ON SOME RECENT EVOLUTIONS IN PERSONAL SUPERCOMPUTING AND WORKSTATION graphics

COMMUNICATIONS IN APPLIED NUMERICAL METHODS 1988年第3期4卷 373-378页

作者： HAJJAR, JF MARTHA, LF OCONNOR, TF ABEL, JF Program of Computer Graphics Cornell University Ithaca NY 14853 U.S.A. Graduate Research Assistant Department of Structural Engineering. Graduate Student Department of Structural Engineering. Visualization Engineer/Technical Specialist. Professor of Structural Engineering.

Recent hardware advances for both enhanced computing and interactive graphics are used to improve the effectiveness of three-dimensional engineering simulations. The two examples presented, drawn from structural engin... 详细信息

关键词： computers, Personal

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Taxonomy and Implementation of Redirection Techniques for Ubiquitous Passive Haptic Feedback

Taxonomy and Implementation of Redirection Techniques for Ub...

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International Conference on Cyberworlds

作者： Frank Steinicke Gerd Bruder Luv Kohli Jason Jerald Klaus Hinrichs Visualization and Computer Graphics (VisCG) Research Group Department of Computer Science Westfälische Wilhelms-Universität Münster Germany Effective Virtual Environments (EVE) Group Department of Computer Science University of North Carolina Chapel Hill USA

Traveling through immersive virtual environments (IVEs) by means of real walking is an important activity to increase naturalness of VR-based interaction. However, the size of the virtual world often exceeds the size of the tracked space so that a straightforward implementation of omni-directional and unlimited walking is not possible. Redirected walking is one concept to solve this problem of walking in IVEs by inconspicuously guiding the user on a physical path that may differ from the path the user visually perceives. When the user approaches a virtual object she can be redirected to a real proxy object that is registered to the virtual counterpart and provides passive haptic feedback. In such passive haptic environments, any number of virtual objects can be mapped to proxy objects having similar haptic properties, e.g., size, shape and texture. The user can sense a virtual object by touching its real world counterpart. Redirecting a user to a registered proxy object makes it necessary to predict the user's intended position in the IVE. Based on this target position we determine a path through the physical space such that the user is guided to the registered proxy object. We present a taxonomy of possible redirection techniques that enable user guidance such that inconsistencies between visual and proprioceptive stimuli are imperceptible. We describe how a user's target in the virtual world can be predicted reliably and how a corresponding real-world path to the registered proxy object can be derived.

关键词： Taxonomy Haptic interfaces Feedback Legged locomotion Virtual environment Space exploration computer science Navigation Large-scale systems graphics

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A Hybrid Web-Based Toolkit for Human Modeling

A Hybrid Web-Based Toolkit for Human Modeling

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IEEE Scientific visualization Conference (SciVis)

作者： M. Bender R. Klein A. Ebert H. Rodrian Computer Graphics Group Department of Computer Science University of Kaiserslautern Germany Human Modeling Department TECMATH GmbH and Company KG Kaiserslautern Germany Intelligent Visualization and Simulation Systems German Research Center for Artificial Intelligence Germany

Modern web-based Scientific visualization applications try to overcome common limitations imposed by limited internet bandwidth, server bottlenecks or network latency. A further aspect is the desire to gain platform independence by solely using instruments which are platform independent by conception: the programming language Java, the Virtual Reality Modeling Language (VRML), or the 3D API *** present a prototype of a hybrid web-based Scientific visualization system which makes use of the increasing computational power of modern desktop workstations and personal computers on the client side, and the superior performance provided by a powerful machine on the server side. In order to achieve high interaction rates and to balance computational load the user can dynamically assign selected tasks to his client or to the *** the scientific field of human modeling we have implemented a hybrid web-based toolkit for the modeling of human muscles and skin. Our application allows the on-line generation and manipulation of three-dimensional implicit muscle models in a heterogeneous network and it offers various parameters to adjust computation and response time versus rendering quality.

关键词： Humans visualization Delay Java Muscles IP networks Bandwidth Network servers Web server Performance gain

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Comparing bayesian models for organ contouring in headand neck radiotherapy

arXiv

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arXiv 2021年

作者： Mody, Prerak P. Chaves-De-Plaza, Nicolas Hildebrandt, Klaus van Egmond, René de Ridder, Huib Staring, Marius Department of Radiology Leiden University Medical Center Leiden Netherlands Computer Graphics and Visualization Lab TU Delft Delft Netherlands Industrial Design Engineering TU Delft Delft Netherlands

Deep learning models for organ contouring in radiotherapy are poised for clinical usage, but currently, there exist few tools for automated quality assessment (QA) of the predicted contours. Using Bayesian models and their associated uncertainty, one can potentially automate the process of detecting inaccurate predictions. We investigate two Bayesian models for auto-contouring, DropOut and FlipOut, using a quantitative measure – expected calibration error (ECE) and a qualitative measure – region-based accuracy-vs-uncertainty (R-AvU) graphs. It is well understood that a model should have low ECE to be considered trustworthy. However, in a QA context, a model should also have high uncertainty in inaccurate regions and low uncertainty in accurate regions. Such behaviour could direct visual attention of expert users to potentially inaccurate regions, leading to a speed-up in the QA process. Using R-AvU graphs, we qualitatively compare the behaviour of different models in accurate and inaccurate regions. Experiments are conducted on the MICCAI2015 Head and Neck Segmentation Challenge and on the DeepMindTCIA CT dataset using three models: DropOut-DICE, Dropout-CE (Cross Entropy) and FlipOut-CE. Quantitative results show that DropOut-DICE has the highest ECE, while Dropout-CE and FlipOut-CE have the lowest ECE. To better understand the difference between DropOut-CE and FlipOut-CE, we use the R-AvU graph which shows that FlipOut-CE has better uncertainty coverage in inaccurate regions than DropOut-CE. Such a combination of quantitative and qualitative metrics explores a new approach that helps to select which model can be deployed as a QA tool in clinical settings. © 2021, CC BY.

关键词： Entropy

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Guest editors' introduction: Special section on IEEE PacificVis 2019

IEEE Pacific Visualization Symposium

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IEEE Pacific visualization Symposium 2019年 2019-April卷 XIV-XV页

作者： Maciejewski, Ross Seo, Jinwook Westermann, Rüdiger School of Computing Informatics and Decision Systems Engineering Arizona State University TempeAZ United States Department of Computer Science and Engineering Seoul National University Seoul Korea Republic of Computer Graphics and Visualization Group Technische Universitat Munchen Garching Germany

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SHREC'19 track: Extended 2D scene image-based 3D scene retrieval 12

SHREC'19 track: Extended 2D scene image-based 3D scene retri...

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12th Eurographics Workshop on 3D Object Retrieval, 3DOR 2019, in conjunction with the 40th Annual Conference of the European Association for computer graphics, EG 2019

作者： Abdul-Rashid, Hameed Yuan, Juefei Li, Bo Lu, Yijuan Schreck, Tobias Bui, Ngoc-Minh Do, Trong-Le Holenderski, Mike Jarnikov, Dmitri Le, Khiem T. Menkovski, Vlado Nguyen, Khac-Tuan Nguyen, Thanh-An Nguyen, Vinh-Tiep Ninh, Tu V. Rey, Perez Tran, Minh-Triet Wang, Tianyang School of Computer Science and Computer Engineering University of Southern Mississippi United States Department of Computer Science Texas State University United States Institue of Computer Graphics and Knowledge Visualization Graz University of Technology Austria Faculty of Information Technology Vietnam National University Ho Chi Minh City Viet Nam Software Engineering Lab Vietnam National University Ho Chi Minh City Viet Nam Department of Mathematics and Computer Science Eindhoven University of Technology Netherlands University of Information Technology Vietnam National University Ho Chi Minh City Viet Nam Department of Computer Science and Information Technology Austin Peay State University United States

ISBN: (纸本)9783038680772

In the months following our SHREC 2018 - 2D Scene Image-Based 3D Scene Retrieval (SceneIBR2018) track, we have extended the number of the scene categories from the initial 10 classes in the SceneIBR2018 benchmark to 30 classes, resulting in a new benchmark SceneIBR2019 which has 30,000 scene images and 3,000 3D scene models. For that reason, we seek to further evaluate the performance of existing and new 2D scene image-based 3D scene retrieval algorithms using this extended and more comprehensive new benchmark. Three groups from the Netherlands, The United States and Vietnam participated and collectively submitted eight runs. This report documents the evaluation of each method based on seven performance metrics, offers an in-depth discussion as well as analysis on the methods employed and discusses future directions that have the potential to address this task. Again, deep learning techniques have demonstrated notable performance in terms of both accuracy and scalability when applied to this exigent retrieval task. To further enrich the current state of 3D scene understanding and retrieval, our evaluation toolkit, all participating methods' results and the comprehensive 2D/3D benchmark have all been made publicly available. © 2019 The Author(s)

关键词： Three dimensional computer graphics

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Revealing the Invisible: Visual Analytics and Explanatory Storytelling for Advanced Team Sport Analysis

Revealing the Invisible: Visual Analytics and Explanatory St...

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Big Data Visual Analytics (BDVA)

作者： Manuel Stein Thorsten Breitkreutz Johannes Haussler Daniel Seebacher Christoph Niederberger Tobias Schreck Michael Grossniklaus Daniel Keim Halldor Janetzko Department of Computer and Information Science University of Konstanz Germany VIZRT Switzerland Institute for Computer Graphics and Knowledge Visualization Graz University of Technology Austria Universitat Konstanz Konstanz Baden-WÃ¼rttemberg DE Department of Geography University of Zurich Switzerland

ISBN: (纸本)9781538691953

The analysis of invasive team sports often concentrates on cooperative and competitive aspects of collective movement behavior. A main goal is the identification and explanation of strategies, and eventually the development of new strategies. In visual sports analytics, a range of different visual-interactive analysis techniques have been proposed, e.g., based on visualization using for example trajectories, graphs, heatmaps, and animations. Identifying suitable visualizations for a specific situation is key to a successful analysis. Existing systems enable the interactive selection of different visualization facets to support the analysis process. However, an interactive selection of appropriate visualizations is a difficult, complex, and time-consuming task. In this paper, we propose a four-step analytics conceptual workflow for an automatic selection of appropriate views for key situations in soccer games. Our concept covers classification, specification, explanation, and alteration of match situations, effectively enabling the analysts to focus on important game situations and the determination of alternative moves. Combining abstract visualizations with real world video recordings by Immersive Visual Analytics and descriptive storylines, we support domain experts in understanding key situations. We demonstrate the usefulness of our proposed conceptual workflow via two proofs of concept and evaluate our system by comparing our results to manual video annotations by domain experts. Initial expert feedback shows that our proposed concept improves the understanding of competitive sports and leads to a more efficient data analysis.

关键词： Sports Games Data visualization Trajectory Visual analytics Video recording

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Empirically evaluating the use of animations to teach algorithms

Empirically evaluating the use of animations to teach algori...

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IEEE Symposium on Visual Languages

作者： A.W. Lawrence A.M. Badre J.T. Stasko Department of Computer and Information Sciences Spelman College Atlanta GA USA Graphics Visualization and Usability Center Georgia Institute of Technology College of Computing Georgia Institute of Technology Atlanta GA USA

As algorithm animation systems become more widely available and easy to use, instructors will have the opportunity to utilize these systems to assist their teaching. Although algorithm animation systems have generated excitement and interest in both teachers and students, little empirical evidence exists to promote their use. This article describes a study involving the use of algorithm animations in classroom and laboratory settings. Results indicated that allowing students to create their own examples in a laboratory session led to higher accuracy on a post-test examination of understanding as compared to students who viewed prepared examples or no laboratory examples.< >

关键词： Animation Laboratories Education Educational institutions Control systems Humans Educational technology graphics Data visualization Usability

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Comparative Analysis of Magnetic Resonance Fingerprinting Dictionaries via Dimensionality Reduction 1

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1st International Workshop on Graph Learning in Medical Imaging, GLMI 2019 held in conjunction with the 22nd International Conference on Medical Image Computing and computer-Assisted Intervention, MICCAI 2019

作者： Dzyubachyk, Oleh Koolstra, Kirsten Pezzotti, Nicola Lelieveldt, Boudewijn P. F. Webb, Andrew Börnert, Peter Division of Image Processing Department of Radiology Leiden University Medical Center Leiden Netherlands C.J. Gorter Center for High Field MRI Department of Radiology Leiden University Medical Center Leiden Netherlands Computer Graphics and Visualization Group Delft University of Technology Delft Netherlands Philips Research Eindhoven Eindhoven Netherlands Intelligent Systems Department Delft University of Technology Delft Netherlands Philips Research Hamburg Hamburg Germany

ISBN: (数字)9783030358174

ISBN: (纸本)9783030358167

Quality assessment of different Magnetic Resonance Fingerprinting (MRF) sequences and their corresponding dictionaries remains an unsolved problem. In this work we present a method in which we approach analysis of MRF dictionaries by performing dimensionality reduction and representing them as low-dimensional point sets (embeddings). Dimensionality reduction was performed using a modification of the t-Distributed Stochastic Neighbor Embedding (t-SNE) algorithm. First, we demonstrated stability of calculated embeddings that allows neglecting the stochastic nature of t-SNE. Next, we proposed and analyzed two algorithms for comparing the embeddings. Finally, we performed two simulations in which we reduced the MRF sequence/dictionary in length or size and analyzed the influence of this reduction on the resulting embedding. We believe that this research can pave the way to development of a software tool for analysis, including better understanding, optimization and comparison, of different MRF sequences. © 2019, Springer Nature Switzerland AG.

关键词： Magnetic resonance

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Progressive parallel coordinates

Progressive parallel coordinates

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Pacific (formerly Asia-Pacific APVIS) visualization Symposium

作者： René Rosenbaum Jian Zhi Bernd Hamann Visual Computing and Computer Graphics group (VCG) Institute for Computer Science University of Rostock Rostock Germany Institute for Data Analysis and Visualization (IDAV) Department of Computer Science University of California Davis CA USA Department of Industrial Engineering and Operations Research Columbia University NY USA

Progressive refinement is a methodology that makes it possible to elegantly integrate scalable data compression, access, and presentation into one approach. Specifically, this paper concerns the effective use of progressive parallel coordinates (PPCs), utilized routinely for high-dimensional data visualization. It discusses how the power of the typical stages of progressive data visualization can also be utilized fully for PPCs. Further, different implementations of the underlying methods and potential application domains are described. The paper also presents empirical results concerning the benefits of PPC with regard to efficient data management and improved presentation, indicating that the proposed approach is able to close the gap between data handling and visualization.

关键词： Lead visualization Logic gates

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