SchemeLens: A Content-Aware Vector-Based Fisheye Technique for Navigating Large Systems Diagrams

@article{Coh2016SchemeLensAC,
  title={SchemeLens: A Content-Aware Vector-Based Fisheye Technique for Navigating Large Systems Diagrams},
  author={Aur{\'e}lie Coh{\'e} and Bastien Liutkus and Gilles Bailly and James R. Eagan and Eric Lecolinet},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  year={2016},
  volume={22},
  pages={330-338}
}
System schematics, such as those used for electrical or hydraulic systems, can be large and complex. Fisheye techniques can help navigate such large documents by maintaining the context around a focus region, but the distortion introduced by traditional fisheye techniques can impair the readability of the diagram. We present SchemeLens, a vector-based, topology-aware fisheye technique which aims to maintain the readability of the diagram. Vector-based scaling reduces distortion to components… CONTINUE READING

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