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作者： Jang, Justin Wonka, Peter Ribarsky, William Shaw, Christopher D. Georgia Institute of Technology GVU Center College of Computing Atlanta GA 30332 United States Arizona State University PRISM Dept. of Computer Science and Engineering Tempe AZ 85287 United States UNC Charlotte CS Dept. Charlotte Visualization Center Charlotte NC 28223 United States Simon Fraser University Surrey School of Interactive Arts and Technology 14-660 Central City Tower 13450 102 Ave Surrey BC V3T 5X3 Canada Graphics Visualization and Usability Center Georgia Institute of Technology PRISM Lab. ASU Department of Information Technology UNC Charlotte Charlotte Visualization Center IEEE Visualization and Graphics Technical Committee School of Interactive Arts and Technology Simon Fraser University Surrey

We present a simplification algorithm for manifold polygonal meshes of plane-dominant models. Models of this type are likely to appear in man-made environments. While traditional simplification algorithms focus on generality and smooth meshes, the approach presented here considers a specific class of man-made models. By detecting and classifying edge loops on the mesh and providing a guided series of binary mesh partitions, our approach generates a series of simplified models, each of which better respects the semantics of these kinds of models than conventional approaches do. A guiding principle is to eliminate simplifications that do not make sense in constructed environments. This, coupled with the concept of "punctuated simplification", leads to an approach that is both efficient and delivers high visual quality. Comparative results are given.

关键词： Object oriented programming

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Adaptive demosaicking using multiple neural networks

Adaptive demosaicking using multiple neural networks

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2006 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing, MLSP 2006

作者： Yangjing, Long Yizhen, Huang Department of Mathematics Shanghai Jiaotong University 800 Dongchuan Road Minhang District Shanghai 200240 China Department of Computer Science and Engineering Shanghai Jiaotong University 800 Dongchuan Road Minhang District Shanghai 200240 China Digital Media and Data Reconstruction Lab. Shanghai Jiaotong University Graphics Team of the Wireless Platform Engineering Cellular and Handheld Group Intel Asia-Pacific Research and Development Ltd.

ISBN: (纸本)1424406560

Demosaicking is one of the important tasks in the image-processing pipeline in digital cameras using a single electronic sensor overlaid with a Color Filter Array. We quantitatively shows that, demosaicking algorithms perform better in low-gradient flat areas than in high-gradient steep areas. Based on this, an adaptive scheme is proposed that uses more complex neural networks to tackle steep areas in larger sizes of neighborhoods. And interpolation is edge-directed with different networks for different chosen directions. Thus networks are specialized in learning and depicting non-linear spatial inter-pixel correlations at respective gradients and directions. Its performance surpasses Go's neural-network method greatly. Compared with 2 recent state-of-the-art methods, our method provides an excellent trade-off between computational expense and PSNR, and well preserves image edge information. As an extension, we compare the performance of these algorithms with and without Lukac's postprocessing. © 2006 IEEE.

关键词： Adaptive systems

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Super-resolution using neural networks based on the optimal recovery theory

Super-resolution using neural networks based on the optimal ...

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2006 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing, MLSP 2006

作者： Huang, Yizhen Long, Yangjing Department of Computer Science and Engineering Shanghai Jiaotong University 800 Dongchuan Road Minhang District Shanghai 200240 China Department of Mathematics Shanghai Jiaotong University 800 Dongchuan Road Minhang District Shanghai 200240 China Graphics Team of the Wireless Platform Engineering Cellular and Handheld Group Intel Asia-Pacific Research and Development Ltd. Digital Media and Data Reconstruction Lab. Shanghai Jiaotong University

ISBN: (纸本)1424406560

An optimal recovery based neural-network Super Resolution algorithm is developed. The proposed method is computationally less expensive and outputs images with high subjective quality, compared with previous neural-network or optimal recovery algorithms. It is evaluated on classical SR test images with both generic and specialized training sets, and compared with other state-of-the-art methods. Results show that our algorithm is among the state-of-the-art, both in quality and efficiency. © 2006 IEEE.

关键词： Image quality

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WISENT: e-science for Energy Meteorology

WISENT: e-Science for Energy Meteorology

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IEEE International Conference on e-science and Grid Computing

作者： Wilhelm Hasselbring Detlev Heinemann Johannes Hurka Thomas Scheidsteger Ludger Bischofs Christoph Mayer Jan Ploski Guido Scherp Sina Lohmann Carsten Hoyer-Klick Thilo Erbertseder Gerhard Gesell Marion Schroedter-Homscheidt Gerd Heilscher Jochen Rehwinkel Stefan Rensberg Software Engineering Group Department of Computer Science University of Oldenburg Oldenburg Germany EHF Laboratory Department of Physics University of Oldenburg Oldenburg Germany Business Information Management OFFIS-Institute for Computer Science Oldenburg Germany German AeroSpace Centre (DLR) Institute of Atmospheric Physics Wessling Germany German AeroSpace Centre (DLR) Institute of Technical Thermodynamics Stuttgart Germany German Remote Sensing Data Center (DFD) German Aerospace Center Wessling Germany Meteocontrol GmbH Augsburg Germany

ISBN: (纸本)9781424430116

Our energy production increasingly depends on renewable energy sources, which impose new challenges for distributed and decentralized systems. One problem is that the availability of renewable energy sources such as wind and solar is not continuous as it is affected by meteorological factors. The challenge is to develop forecast methods capable of determining the level of power generation in near real-time in order to control power plants for optimal energy production. Another scenario is the identification of optimal locations for such power plants. In our collaborative project, these tasks are investigated in the domain of energy meteorology. For that purpose large data sources from many different sensors (e.g., satellites and ground stations) are the base for complex computations. The idea is to parallelize these computations in order to obtain significant speedup. This paper reports on an ongoing project employing Grid technologies in that context. Our approach to processing large data sets from a variety of heterogeneous data sources as well as ideas for parallel and distributed computing in energy meteorology are presented. Preliminary experience with several Grid middleware systems in our application scenario is discussed.

关键词： Meteorology Renewable energy resources Power generation Production systems Meteorological factors Wind forecasting Weather forecasting Load forecasting Solar power generation Wind energy generation

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Feature tracking in VR for cumulus cloud life-cycle studies

Feature tracking in VR for cumulus cloud life-cycle studies

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Joint 9th International Workshop on Immersive Projection Technology and the 11th Eurographics Symposium on Virtual Environments, IPT/EGVE 2005

作者： Griffith, E.J. Post, F.H. Koutek, M. Heus, T. Jonker, H.J.J. Data Visualization Group Faculty of Electrical Engineering Mathematics and Computer Science Netherlands Department of Multi-Scale Physics Faculty of Applied Sciences Delft University of Technology Netherlands

ISBN: (纸本)3905673215

Feature tracking in large data sets is traditionally an off-line, batch processing operation while virtual reality typically focuses on highly interactive tasks and applications. This paper presents an approach that uses a combination of off-line preprocessing and interactive visualization in VR to simplify and speed up the identification of interesting features for further study. We couch the discussion in terms of our collaborative research on using virtual reality for cumulus cloud life-cycle studies, where selecting suitable clouds for study is simple for the skilled observer but difficult to formalize. The preprocessing involves identifying individual clouds within the data set through a 4D connected components algorithm, and then saving isosurface, bounding box, and volume information. This information is then interactively visualized in our VR Cloud Explorer with various tools and information displays to identify the most interesting clouds. In a small pilot study, reasonable performance, both in the preprocessing phase and the visualization phase, has been measured. © The Eurographics Association 2005.

关键词： Virtual reality

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Illustrative visualization

Illustrative visualization

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VIS 05: IEEE visualization 2005, Proceedings

作者： Viola, Ivan Gröller, Meister E. Hadwiger, Markus Bühler, Katja Preim, Bernhard Sousa, Mario Costa Ebert, David S. Stredney, Don Kanitsar, Armin Bruckner, Stefan Grimm, Sören Svakhine, Nikolai A. Jang, Yun Gaithert, Kelly Tietjen, Christian Krüger, Arno Peitgen, Heinz-Otto Isenberg, Tobias Hintze, Jana Hertel, Ilka Strauß, Gero Institute of Computer Graphics and Algorithms Vienna University of Technology Austria VRVis Research Center Vienna Austria Department of Simulation and Graphics University of Magdeburg Germany Department of Computer Science University of Calgary Canada School of Electrical and Computer Engineering Purdue University United States Ohio Supercomputer Center United States Institute of Computer Graphics and Algorithms Vienna University of Technology Austria VRVis Research Center Vienna Austria Electrical and Computer Engineering Purdue University United States IEEE Austria Department of Computer Science University of Calgary Canada Department of Computer Science Computer Graphics Research Lab. University of Calgary Canada Purdue University United States Ohio Supercomputer Center United States University of Texas Austin United States Interface Laboratory United States Biomedical Applications United States Department of Simulation and Graphics Otto-von-Guericke-University of Magdeburg Germany Otto-von-Guericke-University of Magdeburg FIN/ISG Germany Institute for Simulation and Graphics Department for Computer Science Otto-von-Guericke-University of Magdeburg Universitaetsplatz 2 39106 Magdeburg Germany Center for Medical Diagnosic Systems and Visualization Universitaetsallee 29 28359 Bremen Germany Department of Simulation and Graphics Otto-von-Guericke University of Magdeburg Germany ENT Department University Hospital of Leipzig Germany

ISBN: (纸本)0780394623

The tutorial presents state-of-the-art visualization techniques inspired by traditional technical and medical illustrations. Such techniques exploit the perception of the human visual system and provide effective visual abstractions to make the visualization clearly understandable. Visual emphasis and abstraction has been used for expressive presentation from prehistoric paintings to nowadays scientific and medical illustrations. Many of the expressive techniques used in art are adopted in computer graphics, and are denoted as illustrative or non-photorealistic rendering. Different stroke techniques, or brush properties express a particular level of abstraction. Feature emphasis or feature suppression is achieved by combining different abstraction levels in illustrative rendering. Challenges in visualization research are very large data visualization as well as multi-dimensional data visualization. To effectively convey the most important visual information there is a significant need for visual abstraction. For less relevant information the dedicated image space is reduced to enhance more prominent features. The discussed techniques in the context of scientific visualization are based on iso-surfaces and volume rendering. Apart from visual abstraction, i.e., illustrative representation, the visibility of prominent features can be achieved by illustrative visualization techniques such as cut-away views or ghosted views. The structures that occlude the most prominent information are suppressed in order to clearly see more interesting parts. A different smart way to provide information on the data is using exploded views or other types of deformation. Furthermore intuitive feature classification via 3D painting and manipulation with the classified data including label placement is presented. Discussed non-photorealistic and illustrative techniques from visualization and graphics are shown from the perspective as tools for illustrators from medicine, botany, archeology

关键词： visualization

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Cluster Computing and Grid 2005 works in progress

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IEEE Distributed Systems Online 2005年第9期6卷

作者： Wang, Frank Helian, Na Wu, Sining Deng, Yuhui Zhou, Ke Guo, Yike Thompson, Steve Johnson, Ian Milward, Dave Maddock, Robert Khoo, Benjamin Bharadwaj, Veeravalli Cambridge-Cranfield High Performance Computing Facility London Metropolitan University Cranfield University Imperial College Xyratex Department of Grid Computing and E-science Centre for Grid Computing Data Mining at the London Metropolitan University Centre for Grid Computing Cranfield University London E-science Centre Parallel Computing Centre Imperial College National University of Singapore Department of Electrical and Computer Engineering National University of Singapore

A grid-oriented storage (GOS) project, which aims to support advanced data bank services and data reservoirs for sharing data on the gird, is discussed. The GOS appliance is a disk array that connects directly to the grid using a Globus XIO interface and fits in the thin server categorization. The security model of the GOS is based on the Grid security Infrastructure (GSI). A dynamic estimation scheme for fault-free scheduling in grid systems is also discussed. Most of the grid falls into one of the two categories, planned and negotiated, and dynamic and voluntary. This discrepancy is the main reason behind the complexity in designing robust and fault tolerant scheduling algorithms for both resource categories.

关键词： data storage equipment

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On triangulations

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International Conference on Computational science and its Applications, ICCSA 2004

作者： Kolingerová, Ivana Centre of Computer Graphics and Data Visualization Department of Computer Science and Engineering University of West Bohemia Plze Czech Republic

ISBN: (纸本)3540220569

Triangulations in 2D and 3D are a necessary part of many applications. This paper brings a brief survey of main triangulations used in computer graphics and computational geometry, then focuses on Delaunay and greedy triangulations in 2D and 3D and presents their most important properties and algorithms. Then three applications from computer graphics and image processing areas are presented and results discussed. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Triangulation

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Multi-path algorithm for triangle strips

Multi-path algorithm for triangle strips

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computer graphics International

作者： P. Vanecek I. Kolingerova Centre of Computer Graphics and Data Visualization Department of Computer Science and Engineering University of West Bohemia Pilsen Czech Republic

Triangle surface models belong to the most popular type of geometric objects description in computer graphics. Therefore, the problem of fast visualization of this type of data is often solved. One of popular approaches is stripification, i.e., a conversion of triangle surface into strips of triangles. This enables to reduce the rendering time by reduction data size and by avoiding of redundant lighting and transformations computations. In this paper we present a new stripification algorithm for static fully triangulated meshes. Our new algorithm is based on the dual graph of triangulation. The experimental results show that our stripification produces much lower number of triangle strips than other stripification algorithms (except one)

关键词： Strips computer graphics data visualization Rendering (computer graphics) Costs computer science data engineering Solid modeling Application software computer aided manufacturing

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An automated seamless mosaicing system of multi-charge coupled devices of panchromatic data

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Journal of the Indian Society of Remote Sensing 2004年第1期32卷 103-111页

作者： Ramakrishnan, R. Manthira Moorthi, S. Padmanabhan, N. Gupta, P. Data Products Software Division Signal and Image Processing Group Space Applications Centre (ISRO) Ahmedabad-380 015 India Department of Computer Science and Engineering Indian Institute of Technology Kanpur Kanpur 208 016 India

Panchromatic data of pixel resolution 5.8 m obtained from IRS-IC and IRS-ID satellites proved to be very useful for mapping purposes. One of the popular data product is the 70 km swath mosaic which is covered by a combination of 3 CCD line sensors, each with 4096 pixels. Each CCD-line sensor with different imaging times causes geometric problems of mosaicing three strips data together. In this paper, we propose the details of the design elements of system that caters to the need for accurate and automatic multi strip image registration without any second resampling of the data. The systematic geometric correction grid mapping is improved to facilitate accurate mosaicing by automatic image registration task that makes use of the overlap data within image strips and image registration is achieved up to sub-pixel level.

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