IEEE Computer Graphics and Applications

Issue 6 • Nov.-Dec. 2016

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Displaying Results 1 - 21 of 21
  • Front Cover 
  • Front Cover

    Publication Year: 2016, Page(s): c1
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  • IEEE CG&A Call for Articles

    Publication Year: 2016, Page(s): c2
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  • Masthead 
  • Masthead

    Publication Year: 2016, Page(s): 1
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  • Table of Contents 
  • Table of Contents

    Publication Year: 2016, Page(s):2 - 3
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  • About the Cover 
  • Pure Abstraction

    Publication Year: 2016, Page(s):4 - 5
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (324 KB) | HTML iconHTML

    Vincent Pucciarelli's imagery falls into the category of pure digital abstraction. The only requirements for his images are shapes, lines, colors, patterns, and the viewer's own boundless imagination. View full abstract»

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  • Art on Graphics 
  • Using Art to Visualize Cellular Environments: An Interview with David Goodsell

    Publication Year: 2016, Page(s):6 - 10
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (1450 KB) | HTML iconHTML

    David Goodsell creates paintings of the inside of cells as well as other molecular scale objects. His work reveals cellular structures that are scientifically accurate and engaging to the human eye. This interview explores how he brings to life that which we cannot see and how the scale and detail of his work produces a more complete understanding of and engagement with these complex structures. View full abstract»

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  • Graphically Speaking 
  • Visualizing Rugby Game Styles Using Self-Organizing Maps

    Publication Year: 2016, Page(s):11 - 15
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (396 KB) | HTML iconHTML

    Rugby coaches and analysts often use notational data describing match events to assess their team's performance and to devise strategic plans for upcoming matches. However, given the volume and complexity of the data available, it is difficult for them to recognize high-dimensional relationships among the available performance variables. A nonlinear approach using self-organizing maps (SOM) can he... View full abstract»

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  • Guest Editors' Introduction 
  • Computer Graphics for Defense Applications

    Publication Year: 2016, Page(s):16 - 17
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  • Defense Applications 
  • Design and Choice of Visual Display Solutions in the Training Domain

    Publication Year: 2016, Page(s):18 - 25
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (2659 KB) | HTML iconHTML

    Visual display solutions are a key element of computer-based system architectures intended for human-system interaction. Particularly in the training domain, an ill-matched visual display can render a system unusable or ineffectual, which may cause underutilization or a negative transfer of training. This article outlines a set of approaches and best practices used in research efforts focused on t... View full abstract»

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  • HuSIS: A Dedicated Space for Studying Human Interactions

    Publication Year: 2016, Page(s):26 - 36
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (2963 KB) | HTML iconHTML

    To support the study of effective human-surrogate interaction techniques and modalities, the Office of Naval Research awarded an equipment grant to support the development of a Human-Surrogate Interaction Space (HuSIS) at the University of Central Florida in the Institute for Simulation & Training. The HuSIS consists of a dedicated physical space, structures, and components designed specifically f... View full abstract»

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  • Interactive Crowd-Behavior Learning for Surveillance and Training

    Publication Year: 2016, Page(s):37 - 45
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (2918 KB) | HTML iconHTML

    The proposed interactive crowd-behavior learning algorithms can be used to analyze crowd videos for surveillance and training applications. The authors' formulation combines online tracking algorithms from computer vision, nonlinear pedestrian motion models from computer graphics, and machine learning techniques to automatically compute trajectory-level pedestrian behaviors for each agent in the v... View full abstract»

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  • Feature Article 
  • 3D Human Model Reconstruction from Sparse Uncalibrated Views

    Publication Year: 2016, Page(s):46 - 56
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (3559 KB) | HTML iconHTML

    Using a two-stage algorithm, the proposed technique can tackle the challenges of reconstructing high-quality 3D models of humans wearing regular clothes from sparse uncalibrated cameras. The proposed algorithm based on nonrigid dense correspondences (NRDC) requires fewer images than previous methods because it does not require an initial sparse matching. The authors validated the proposed algorith... View full abstract»

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    Publication Year: 2016, Page(s): 57
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  • Feature Article 
  • BKViz: A Basketball Visual Analysis Tool

    Publication Year: 2016, Page(s):58 - 68
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (3668 KB) | HTML iconHTML

    The amount of data available in the sports field is difficult for coaches, analysts, and players to comprehend using classic analytics methods. Thus, new methods are necessary to help users break down that information and analyze it at a deeper level. The BKViz visual analytics system focuses on individual basketball games using classic and novel methods to reveal how players perform together and ... View full abstract»

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    Publication Year: 2016, Page(s): 69
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  • Applications 
  • Customized Body Mapping to Facilitate the Ergonomic Design of Sportswear

    Publication Year: 2016, Page(s):70 - 77
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (1189 KB) | HTML iconHTML

    A successful high-performance sportswear design that considers human factors should result in a significant increase in thermal comfort and reduce energy loss. The authors describe a body-mapping approach that facilitates the effective ergonomic design of sportswear. Their general framework can be customized based on the functional requirements of various sports and sportswear, the desired combina... View full abstract»

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  • Visualization Viewpoints 
  • Network Visualization as a Higher-Order Visual Analysis Tool

    Publication Year: 2016, Page(s):78 - 85
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (708 KB) | HTML iconHTML

    The transformation of data into visuals that are as effective and engaging as possible for compelling presentation is an emerging topic in information visualization research. With this goal in mind, several data-analysis system approaches offer a higher-order network visualization that map insights rather than raw data. Knowledge visualization or externalization in the form of small, focused diagr... View full abstract»

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  • Dissertation Impact 
  • Efficient High-Dimensional, Edge-Aware Filtering

    Publication Year: 2016, Page(s):86 - 95
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (1347 KB) | HTML iconHTML

    Traditional computer graphics filters are agnostic to the concept of objects and the transition between objects (edges), but image filters need to take edges into account in order to produce high-quality, artifact-free, beautifully formed images. Eduardo S.L. Gastal's dissertation focuses on efficient algorithms for performing edge-aware image and video filtering. The techniques he describes here ... View full abstract»

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    Publication Year: 2016, Page(s): 96
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  • Back Covers 
  • New Membership Options for a Better Fit [Advertisement]

    Publication Year: 2016, Page(s): c3
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    Publication Year: 2016, Page(s): c4
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Aims & Scope

IEEE CG&A bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a unique combination of peer-reviewed feature articles and informal departments, including product announcements.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
L. Miguel Encarnação
The QED Group