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Computer Graphics and Applications, IEEE

Issue 4 • Date July-Aug. 2012

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Displaying Results 1 - 20 of 20
  • [Front cover]

    Publication Year: 2012 , Page(s): c1
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  • IEEE Computer Society Jobs Board Advertisement

    Publication Year: 2012 , Page(s): c2
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  • Masthead

    Publication Year: 2012 , Page(s): 1
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  • Table of Contents

    Publication Year: 2012 , Page(s): 2 - 3
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  • From Right Brain to Left Brain

    Publication Year: 2012 , Page(s): 4 - 5
    Cited by:  Papers (1)
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  • New Department, Editors, and Awards

    Publication Year: 2012 , Page(s): 6 - 7
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  • Real-Time Visualization of Domain Coverage by Dynamically Moving Sensors

    Publication Year: 2012 , Page(s): 8 - 13
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2113 KB) |  | HTML iconHTML  

    A collection of algorithms, visualizations, and interactive operations allow operators controlling the movement of a collection of sensors through an environment to monitor in real time the portion of the environment that can or can't be seen by some subset of the sensors. The visualization allows preattentive detection of the number of sensors that can see a given location, and the coloring lets users identify the sensors' exact identities. This method employs two ray-tracing-based algorithms. A GPU implementation using CUDA (Compute-Unified Device Architecture) allows real-time processing and display of all scene updates and sensor movements. View full abstract»

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  • Large-Scale Visualization Projects for Teaching Software Engineering

    Publication Year: 2012 , Page(s): 14 - 19
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (733 KB) |  | HTML iconHTML  

    The University of Stuttgart's software engineering major complements the traditional computer science major with more practice-oriented education. Two-semester software projects in various application areas offered by the university's different computer science institutes are a successful building block in the curriculum. With this realistic, complex project setting, students experience the practice of software engineering, including software development processes, technologies, and soft skills. In particular, visualization-based projects are popular with students. Such projects offer them the opportunity to gain profound knowledge that would hardly be possible with only regular lectures and homework assignments. View full abstract»

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  • Carl Machover, 1927-2012

    Publication Year: 2012 , Page(s): 20 - 22
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  • Extreme-Scale Visual Analytics

    Publication Year: 2012 , Page(s): 23 - 25
    Cited by:  Papers (1)
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  • A Graph Algebra for Scalable Visual Analytics

    Publication Year: 2012 , Page(s): 26 - 33
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (5351 KB) |  | HTML iconHTML  

    Visual analytics (VA), which combines analytical techniques with advanced visualization features, is fast becoming a standard tool for extracting information from graph data. Researchers have developed many tools for this purpose, suggesting a need for formal methods to guide these tools' creation. Increased data demands on computing requires redesigning VA tools to consider performance and reliability in the context of analysis of exascale datasets. Furthermore, visual analysts need a way to document their analyses for reuse and results justification. A VA graph framework encapsulated in a graph algebra helps address these needs. Its atomic operators include selection and aggregation. The framework employs a visual operator and supports dynamic attributes of data to enable scalable visual exploration of data. View full abstract»

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  • Visual Analytics for Finding Critical Structures in Massive Time-Varying Turbulent-Flow Simulations

    Publication Year: 2012 , Page(s): 34 - 45
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (6243 KB) |  | HTML iconHTML  

    Visualization and data analysis are crucial in analyzing and understanding a turbulent-flow simulation of size 4,096³ cells per time slice (68 billion cells) and 17 time slices (one trillion total cells). The visualization techniques used help scientists investigate the dynamics of intense events individually and as these events form clusters. View full abstract»

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  • Geometric Quantification of Features in Large Flow Fields

    Publication Year: 2012 , Page(s): 46 - 54
    Cited by:  Papers (4)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (3638 KB) |  | HTML iconHTML  

    Interactive exploration of flow features in large-scale 3D unsteady-flow data is one of the most challenging visualization problems today. To comprehensively explore the complex feature spaces in these datasets, a proposed system employs a scalable framework for investigating a multitude of characteristics from traced field lines. This capability supports the examination of various neighborhood-based geometric attributes in concert with other scalar quantities. Such an analysis wasn't previously possible because of the large computational overhead and I/O requirements. The system integrates visual analytics methods by letting users procedurally and interactively describe and extract high-level flow features. An exploration of various phenomena in a large global ocean-modeling simulation demonstrates the approach's generality and expressiveness as well as its efficacy. View full abstract»

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  • Exploratory Visualization Involving Incremental, Approximate Database Queries and Uncertainty

    Publication Year: 2012 , Page(s): 55 - 62
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (3156 KB) |  | HTML iconHTML  

    Large datasets can mean slow queries, for which users must wait. Incremental visualization systems can give faster results at a cost of accuracy. This article asked analysts to use one and report on their results. Their feedback provides suggestions for alternative visualizations to represent a query still in progress. View full abstract»

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  • The Top 10 Challenges in Extreme-Scale Visual Analytics

    Publication Year: 2012 , Page(s): 63 - 67
    Cited by:  Papers (11)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (200 KB) |  | HTML iconHTML  

    A team of scientists and researchers discusses the top 10 challenges in extreme-scale visual analytics (VA). The discussion covers applying VA technologies to both scientific and nonscientific data, evaluating the problems and challenges from both technical and social perspectives. View full abstract»

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  • Fast Rendering of Diffusion Curves with Triangles

    Publication Year: 2012 , Page(s): 68 - 78
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (5019 KB) |  | HTML iconHTML  

    Diffusion curves are a new kind of primitive in vector graphics, capable of representing smooth color transitions among boundaries. Their rendering requires solving Poisson's equation; much previous research relied on traditional solvers, which commonly require GPU acceleration to achieve real-time rasterization. This obviously restricts deployment on the Internet—for example, as rich Internet applications, in which various computing environments are involved. Diffusion effects are similar to locally defined interpolation with a particular orientation and magnitude. Inspired by that observation, a mesh-based framework combined with mean value coordinates (MVC) interpolants efficiently renders diffusion curve images on a CPU. This method employs a visibility algorithm to efficiently find and sort neighboring curve nodes for each vertex. It then assigns the vertex colors according to MVC interpolation with the neighboring curve nodes. Experiments produced rendering results comparable to traditional solvers, but this method is computationally more efficient and runs much faster on a CPU. View full abstract»

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  • Forensic-Case Analysis: From 3D Imaging to Interactive Visualization

    Publication Year: 2012 , Page(s): 79 - 87
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (3742 KB) |  | HTML iconHTML  

    An interactive framework prepares raw computed-tomography and magnetic-resonance-imaging scans for courtroom presentations. The framework makes use of combined computer graphics and computer vision techniques to enable a forensic case analysis workflow. View full abstract»

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  • Introduction to Geometric Processing through Optimization

    Publication Year: 2012 , Page(s): 88 - 94
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (613 KB) |  | HTML iconHTML  

    As an introduction to the field, this article shows how to formulate several geometry-processing operations to solve systems of equations in the“least-squares” sense. The equations are derived from local geometric relations using elementary concepts from analytic geometry, such as points, lines, planes, vectors, and polygons. Simple and useful tools for interactive polygon mesh editing result from the most basic descent strategies to solve these optimization problems. Throughout the article, the author develops the mathematical formulations incrementally, keeping in mind that the objective is to implement simple software for interactive editing applications that works well in practice. Readers can implement higher-performance versions of these algorithms by replacing the simple solvers proposed here with more advanced ones. View full abstract»

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  • Tools and Products

    Publication Year: 2012 , Page(s): 95 - 96
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  • Digital Computer House Advertisement

    Publication Year: 2012 , Page(s): c3
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Aims & Scope

IEEE Computer Graphics and Applications bridges the theory and practice of computer graphics.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
L. Miguel Encarnação
University of Iowa