Comparing and evaluating computer graphics and visualization software

Laramee, Robert S.

doi:10.1002/spe.850

Cited by 6 publications

(4 citation statements)

References 17 publications

(12 reference statements)

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“…Laramee 6 provided a practical comparison aimed at assisting developers select the best graphics or visualization library for building their applications through the evaluation of feature sets, software source and development environment, and the ease of implementing a benchmark application. However, the evaluation was limited to an in-depth examination of four pre-selected packages: VTK, Open Inventor, Coin3D, and Hoops 3D.…”

Section: Prior Workmentioning

confidence: 99%

Comparison of open-source visual analytics toolkits

Crossno

2012

Visualization and Data Analysis 2012

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We present the results of the first stage of a two-stage evaluation of open source visual analytics packages. This stage is a broad feature comparison over a range of open source toolkits. Although we had originally intended to restrict ourselves to comparing visual analytics toolkits, we quickly found that very few were available. So we expanded our study to include information visualization, graph analysis, and statistical packages. We examine three aspects of each toolkit: visualization functions, analysis capabilities, and development environments. With respect to development environments, we look at platforms, language bindings, multi-threading/parallelism, user interface frameworks, ease of installation, documentation, and whether the package is still being actively developed.

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Section: Prior Workmentioning

confidence: 99%

Comparison of open-source visual analytics toolkits

Crossno

2012

Visualization and Data Analysis 2012

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“…And, applications should not generally be started from scratch [7]. But yet, we in software development start projects from scratch over and over againrepeatedly re-inventing the wheel.…”

Section: Follow Coding Conventionsmentioning

confidence: 99%

Using Visualization to Debug Visualization Software

Laramee

2010

IEEE Comput. Grap. Appl.

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Developing visualization applications is non-trivial and poses special challenges. This is due to the fact that typical visualization software processes a large amount of data resulting in large and sometimes very complex data structures. Traditional tools for debugging are of limited use because they de-couple the information they report from the spatio-temporal domain in which unexpected problems occur. We present a set of guidelines targeted specifically at debugging visualization software. The guidelines are inspired by experience in developing applications in both industry and research. Specific examples where the guidelines are applied are given throughout. In general, the key is to exploit the strengths of computer graphics and visualization itself in combination with some more well-known good practices.

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“…In particular, stream surface seeding algorithms are incorporated, which were not available in previous systems, such as the VTK or Visit [2].…”

Section: Introductionmentioning

confidence: 99%

“…The visualizations are novel for flow and also offer fast performance. The flow visualization techniques are more current then previous systems such as the VTK or Para-view [2]. What we present here are the design and implementation considerations for our software.…”

Section: Introductionmentioning

confidence: 99%

Design of a Flow Visualisation Framework

2015

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Research software often consists of individual, isolated prototype applications. Small proof of concept applications are usually enough for demonstrating new algorithms. However, the unification of new research algorithms into a cohesive software framework has advantages. Adding new features to an existing pipeline reduces implementation overhead. The researcher is more able to compare and contrast existing or previous work with new research. Utilizing previously implemented techniques, researchers are able to combine visualization options in new ways that typical research prototypes cannot. The software application can be made available to the domain expert for evaluation and future use. These goals are in part realized by utilizing recent advancements in game design technology and by leveraging features available with recent graphics hardware. Described is the design of a feature-rich flow visualization software framework in more detail than a typical research paper. In contrast to most research prototypes, the system we present handles real-world simulation datasets by interfacing directly with the commercial package called tecplot. We present a description of our system in detail, whereas previously published work focuses on the research contribution. The effectiveness and scalability of the approach is also discussed.

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Comparing and evaluating computer graphics and visualization software

Cited by 6 publications

References 17 publications

Comparison of open-source visual analytics toolkits

Comparison of open-source visual analytics toolkits

Using Visualization to Debug Visualization Software

Design of a Flow Visualisation Framework

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