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17th ACM Conference on computer Supported Cooperative Work and Social Computing, CSCW 2014

作者： Knibbe, Jarrod O'Hara, Kenton P. Chrysanthi, Angeliki Marshall, Mark T. Bennett, Peter D. Earl, Graeme Izadi, Shahram Fraser, Mike Interaction and Graphics Group Department of Computer Science University of Bristol United Kingdom Archaeological Computing Research Group University of Southampton United Kingdom Microsoft Research Cambridge United Kingdom

ISBN: (纸本)9781450325400

Capturing data is a key part of archaeological practice, whether for preserving records or to aid interpretation. But the technologies used are complex and expensive, resulting in time-consuming processes associated with their use. These processes force a separation between ongoing interpretive work and capture. Through two field studies we elicit more detail as to what is important about this interpretive work and what might be gained through a closer integration of capture technology with these practices. Drawing on these insights, we go on to present a novel, portable, wireless 3D modeling system that emphasizes 'quick and dirty' capture. We discuss its design rational in relation to our field observations and evaluate this rationale further by giving the system to archaeological experts to explore in a variety of settings. While our device compromises on the resolution of traditional 3D scanners, its support of interpretation through emphasis on real-time capture, review and manipulability suggests it could be a valuable tool for the future of archaeology. Copyright © 2014 ACM.

关键词： History

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On computationally-enhanced visual analysis of heterogeneous data and its application in biomedical informatics

On computationally-enhanced visual analysis of heterogeneous...

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作者： Turkay, Cagatay Jeanquartier, Fleur Holzinger, Andreas Hauser, Helwig giCentre Department of Computer Science City University London United Kingdom Research Unit HCI Institute for Medical Informatics Statistics and Documentation Medical University Graz Austria Visualization Group Department of Informatics University of Bergen Norway

With the advance of new data acquisition and generation technologies, the biomedical domain is becoming increasingly data-driven. Thus, understanding the information in large and complex data sets has been in the focus of several research fields such as statistics, data mining, machine learning, and visualization. While the first three fields predominantly rely on computational power, visualization relies mainly on human perceptual and cognitive capabilities for extracting information. Data visualization, similar to Human–computer Interaction, attempts an appropriate interaction between human and data to interactively exploit data sets. Specifically within the analysis of complex data sets, visualization researchers have integrated computational methods to enhance the interactive processes. In this state-of-the-art report, we investigate how such an integration is carried out. We study the related literature with respect to the underlying analytical tasks and methods of integration. In addition, we focus on how such methods are applied to the biomedical domain and present a concise overview within our taxonomy. Finally, we discuss some open problems and future challenges. © Springer-Verlag Berlin Heidelberg 2014.

关键词： visualization

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Future challenges and unsolved problems in multi-field visualization

Mathematics and Visualization

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Mathematics and visualization 2014年 37卷 205-211页

作者： Laramee, Robert S. Carr, Hamish Chen, Min Hauser, Helwig Linsen, Lars Mueller, Klaus Natarajan, Vijay Obermaier, Harald Peikert, Ronald Zhang, Eugene Computer Science Department Swansea University Swansea United Kingdom University of Leeds Leeds United Kingdom Oxford e-Research Centre University of Oxford OxfordOX1 3QG United Kingdom Department of Informatics University of Bergen Bergen Norway School of Engineering and Science Jacobs University Bremen Germany Department of Computer Science Stony Brook University Stony BrookNY United States Department of Computer Science and Automation IIS Bengaluru India Department of Computer Science UC Davis DavisCA United States ETH Zurich Scientific Visualization Group Zurich Switzerland Oregon State University Corvallis United States

Evaluation, solved and unsolved problems, and future directions are popular themes pervading the visualization community over the last decade. The top unsolved problem in both scientific and information visualization was the subject of an IEEE visualization Conference panel in 2004. The future of graphics hardware was another important topic of discussion the same year. The subject of how to evaluate visualization returned a few years later. Chris Johnson published a list of 10 top problems in scientific visualization research. This was followed up by report of both past achievements and future challenges in visualization research as well as financial support recommendations to the National science Foundation (NSF) and National Institute of Health (NIH). Chen recently published the first list of top unsolved information visualization problems. Future research directions of topology-based visualization was also a major theme of a workshop on topology-based methods. Laramee and Kosara published a list of top future challenges in human-centered visualization. © Springer-Verlag London 2014.

关键词： visualization

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Online reconstruction of textured triangle meshes from aerial images

Online reconstruction of textured triangle meshes from aeria...

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2013 Eurographics Workshop on Urban Data Modelling and Visualisation, UDMV 2013

作者： Vierjahn, Tom Roters, Jan Moser, Manuel Hinrichs, Klaus Mostafawy, Sina Rmh New Media GmbH Cologne Germany Visualization and Computer Graphics Research Group Department of Computer Science University of Muenster Germany Department of Media FH Duesseldorf University of Applied Sciences Germany

ISBN: (纸本)9783905674460

In this paper we present and evaluate a new online reconstruction algorithm to create a textured triangle mesh from a set of aerial images via an unorganized point cloud. Both the point cloud and the mesh are iteratively refined while allowing new aerial images to be added at any time during reconstruction. Texture coordinates are learnt to instantly visualize an initially rough approximation that gets refined as more data becomes available. The new algorithm improves upon other systems that require the complete data to be acquired beforehand, and that apply offline, non-iterative reconstruction and processing. Thus, our algorithm is perfectly suited for time-critical applications, e. g., strategical visualization platforms for disaster and emergency response. © 2013 The Eurographics Association.

关键词： Iterative methods

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Music education using augmented reality with a head mounted display 14

Music education using augmented reality with a head mounted ...

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14th Australasian User Interface Conference, AUIC 2013

作者： Chow, Jonathan Feng, Haoyang Amor, Robert Wünsche, Burkhard C. Department of Software Engineering University of Auckland New Zealand Software Engineering Research Group Department of Computer Science University of Auckland New Zealand Graphics Group Department of Computer Science University of Auckland New Zealand

ISBN: (纸本)9781921770241

Traditional music education places a large emphasis on individual practice. Studies have shown that individual practice is frequently not very productive due to limited feedback and students lacking interest and motivation. In this paper we explore the use of augmented reality to create an immersive experience to improve the efficiency of learning of beginner piano students. The objective is to stimulate development in notation literacy and to create motivation through presenting as a game the task that was perceived as a chore. This is done by identifying successful concepts from existing systems and merging them into a new system designed to be used with a head mounted display. The student is able to visually monitor their practice and have fun while doing so. An informal user study indicates that the system initially puts some pressure on users, but that participants find it helpful and believe that it improves learning. © 2013, Australian computer Society, Inc.

关键词： Augmented reality

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Graph-based combinations of fragment descriptors for improved 3D object retrieval 12

Graph-based combinations of fragment descriptors for improve...

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3rd ACM Multimedia Systems Conference, MMSys'12

作者： Schreck, Tobias Scherer, Maximilian Walter, Michael Bustos, Benjamin Yoon, Sang Min Kuijper, Arjan Data Analysis and Visualization Group University of Konstanz Germany Interactive Graphics Systems Technische Universität Darmstadt Germany KDW+PRISMA Department of Computer Science University of Chile Chile Yonsei Institute of Convergence Technology Yonsei University Korea Republic of Fraunhofer Institute for Computer Graphics Research Darmstadt Germany

ISBN: (纸本)9781450311311

3D Object Retrieval is an important field of research with many application possibilities. One of the main goals in this research is the development of discriminative methods for similarity search. The descriptor-based approach to date has seen a lot of research attention, with many different extraction algorithms proposed. In previous work, we have introduced a simple but effective scheme for 3D model retrieval based on a spatially fixed combination of 3D object fragment descriptors. In this work, we propose a novel flexible combination scheme based on finding the best matching fragment descriptors to use in the combination. By an exhaustive experimental evaluation on established benchmark data we show the capability of the new combination scheme to provide improved retrieval effectiveness. The method is proposed as a versatile and inexpensive method to enhance the effectiveness of a given global 3D descriptor approach. © 2012 ACM.

关键词： Self organizing maps

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Guest Editorial:Special Issue on visualization and computer graphics

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Tsinghua science and Technology 2012年第4期17卷 I0001-I0002页

作者： Jing Yang Shixia Liu Ye Zhao Ying-Qing Xu William Ribarsky Department of Computer Science University of North Carolina at Charlotte Charlotte NC 28223 USA Internet Graphics Group Microsoft Research Asia Beijing 100080 China Department of Computer Science Kent State University Kent Ohio 44242 USA Department of Information Art & Design Tsinghua University Beijing 100084 China

In the decade of data explosion, a significant challenge is how to transform data into understandings and insights that are useful to people. visualization, the use of computer-supported, interactive visual representations of data to amplify cognition, is an important approach to addressing this challenge. In particular, scientific visualization primarily represents physical or geometric data while information visualization mainly represents abstract data such as text documents, graphs, and multidimensional data. Visual analytics, springing out of the fields of information visualization and scientific visualization,

关键词： Special issues and sections Visual analytics Algorithm design and analysis Data visualization

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CFD simulation of liquid-liquid extraction columns and visualization of eulerian datasets

CFD simulation of liquid-liquid extraction columns and visua...

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International research and Training group 1131 Workshop on visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering, VLUDS 2011

作者： Hlawitschka, Mark W. Chen, Fang Bart, Hans-Jörg Hamann, Bernd Department of Separation Science and Technology University of Kaiserslautern Germany Computer Graphics and HCI Group University of Kaiserslautern Germany CS Department Institute for Data Analysis and Visualization University of California Davis United States 2 University of Kaiserslautern Germany

ISBN: (纸本)9783939897460

In this joint work, a complete framework for modeling, simulating and visualizing multiphase fluid flow within an extraction column is presented. We first present a volume-of-fluid simulation, which is able to predict the surface of the droplets during coalescence. However, a fast and efficient model is needed for the simulation of a liquid-liquid extraction column due to the high number of occurring droplets. To simulate the velocity and droplet size in a DN32 extraction column, a coupled computational fluid dynamic-population balance model solver is used. The simulation is analyzed using path-line based visualization techniques. A novel semi-automatic re-seeding technique for droplet path-line integration is proposed. With our technique, path-lines of fluid droplets can be re-initialized after contact with the stirring devices. The droplet breakage is captured, allowing the engineer to improve the design of liquid-liquid columns layout.

关键词： Computational fluid dynamics

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Sketch-based 3D model retrieval using keyshapes for global and local representation

Sketch-based 3D model retrieval using keyshapes for global a...

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5th Eurographics Workshop on 3D Object Retrieval, EG 3DOR 2012

作者： Saavedra, J.M. Bustos, B. Schreck, T. Yoon, S. Scherer, M. KDW-PRISMA Research Group Department of Computer Science University of Chile Chile Data Analysis and Visualization Group University of Konstanz Germany Yonsei Institute of Convergence Technology Yonsei University Korea Republic of GRIS TU Darmstadt Germany

ISBN: (纸本)9783905674361

Since 3D models are becoming more popular, the need for effective methods capable of retrieving 3D models is becoming crucial. Current methods require an example 3D model as query. However, in many cases, such a query is not easy to get. An alternative is using a hand-drawn sketch as query. In this work, we present a new keyshape based approach named HKO-KASD for retrieving 3D models using rough sketches as queries. Our approach comprises two general steps. First, a global descriptor is used to determine the appropriate viewpoint for each model. Second, we apply a local matching process to determine the final ranking for an input sketch. To this end, we present a local descriptor capable of working with sketch representations. The global descriptors as well as the local descriptors rely on a set of keyshapes precomputed from 2D representations of 3D models and from the query sketch as well. We evaluate our method using the first-tier precision and compare it with current approaches (HELO, STELA). Our results show a significant increase in precision for many classes of 3D models. © The Eurographics Association 2012.

关键词： Self organizing maps

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Anisotropic range image integration

Anisotropic range image integration

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Joint 34th Symposium of the German Association for Pattern Recognition, DAGM 2012 and 36th Symposium of the Austrian Association for Pattern Recognition, OAGM 2012

作者： Schroers, Christopher Zimmer, Henning Valgaerts, Levi Bruhn, Andrés Demetz, Oliver Weickert, Joachim Mathematical Image Analysis Group Faculty of Mathematics and Computer Science Saarland University Saarbrücken 66041 Germany Computer Graphics Laboratory Department of Computer Science ETH Zurich Zurich 8092 Switzerland Max-Planck-Institut für Informatik Campus E1.4 Saarbrücken 66123 Germany Institute for Visualization and Interactive Systems University of Stuttgart Universitätsstraße 38 70569 Stuttgart Germany

ISBN: (纸本)9783642327162

Obtaining high-quality 3D models of real world objects is an important task in computer vision. A very promising approach to achieve this is given by variational range image integration methods: They are able to deal with a substantial amount of noise and outliers, while regularising and thus creating smooth surfaces at the same time. Our paper extends the state-of-the-art approach of Zach et al.(2007) in several ways: (i) We replace the isotropic space-variant smoothing behaviour by an anisotropic (direction-dependent) one. Due to the directional adaptation, a better control of the smoothing with respect to the local structure of the signed distance field can be achieved. (ii) In order to keep data and smoothness term in balance, a normalisation factor is introduced. As a result, oversmoothing of locations that are seen seldom is prevented. This allows high quality reconstructions in uncontrolled capture setups, where the camera positions are unevenly distributed around an object. (iii) Finally, we use the more accurate closest signed distances instead of directional signed distances when converting range images into 3D signed distance fields. Experiments demonstrate that each of our three contributions leads to clearly visible improvements in the reconstruction quality. © 2012 Springer-Verlag.

关键词： computer vision

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