Information

• Publication Type: Journal Paper (without talk)
• Workgroup(s)/Project(s):
  • BioNetIllustration: User Centric Illustrations of Biological Networks
• Date: November 2020
• Journal: IEEE Transactions on Visualization and Computer Graphics (TVCG)
• Pages (from): 1
• Pages (to): 14
• Volume: x

Abstract

In this paper, we present an algorithm capable of mixed labeling of 2D and 3D objects. In mixed labeling, the given objects are labeled with both internal labels placed (at least partially) over the objects and external labels placed in the space around the objects and connected with the labeled objects with straight-line leaders. The proposed algorithm determines the position and type of each label based on the user-specified ambiguity threshold and eliminates overlaps between the labels, as well as between the internal labels and the straight-line leaders of external labels. The algorithm is a screen-space technique; it operates in an image where the 2D objects or projected 3D objects are encoded. In other words, we can use the algorithm whenever we can render the objects to an image, which makes the algorithm fit for use in many domains. The algorithm operates in real-time, giving the results immediately. Finally, we present results from an expert evaluation, in which a professional illustrator has evaluated the label layouts produced with the proposed algorithm.

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BibTeX

@article{cmolik-2020-tvcg,
  title =      "Mixed Labeling: Integrating Internal and External Labels",
  author =     "Ladislav \v{C}mol\'{i}k and V\'{a}clav Pavlovec and
               Hsiang-Yun Wu and Martin N\"{o}llenburg",
  year =       "2020",
  abstract =   "In this paper, we present an algorithm capable of mixed
               labeling of 2D and 3D objects. In mixed labeling, the given
               objects are labeled with both internal labels placed (at
               least partially) over the objects and external labels placed
               in the space around the objects and connected with the
               labeled objects with straight-line leaders. The proposed
               algorithm determines the position and type of each label
               based on the user-specified ambiguity threshold and
               eliminates overlaps between the labels, as well as between
               the internal labels and the straight-line leaders of
               external labels. The algorithm is a screen-space technique;
               it operates in an image where the 2D objects or projected 3D
               objects are encoded. In other words, we can use the
               algorithm whenever we can render the objects to an image,
               which makes the algorithm fit for use in many domains. The
               algorithm operates in real-time, giving the results
               immediately. Finally, we present results from an expert
               evaluation, in which a professional illustrator has
               evaluated the label layouts produced with the proposed
               algorithm.",
  month =      nov,
  journal =    "IEEE Transactions on Visualization and Computer Graphics
               (TVCG)",
  volume =     "x",
  pages =      "1--14",
  URL =        "/research/publications/2020/cmolik-2020-tvcg/",
}