2 Search Results for "Aleardi, Luca Castelli"


Document
SCARST: Schnyder Compact and Regularity Sensitive Triangulation Data Structure

Authors: Luca Castelli Aleardi and Olivier Devillers

Published in: LIPIcs, Volume 293, 40th International Symposium on Computational Geometry (SoCG 2024)


Abstract
We consider the design of fast and compact representations of the connectivity information of triangle meshes. Although traditional data structures (Half-Edge, Corner Table) are fast and user-friendly, they tend to be memory-expensive. On the other hand, compression schemes, while meeting information-theoretic lower bounds, do not support navigation within the mesh structure. Compact representations provide an advantageous balance for representing large meshes, enabling a judicious compromise between memory consumption and fast implementation of navigational operations. We propose new representations that are sensitive to the regularity of the graph while still having worst case guarantees. For all our data structures we have both an interesting storage cost, typically 2 or 3 r.p.v. (references per vertex) in the case of very regular triangulations, and provable upper bounds in the worst case scenario. One of our solutions has a worst case cost of 3.33 r.p.v., which is currently the best-known bound improving the previous 4 r.p.v. [Castelli et al. 2018]. Our representations have slightly slower running times (factors 1.5 to 4) than classical data structures. In our experiments we compare on various meshes runtime and memory performance of our representations with those of the most efficient existing solutions.

Cite as

Luca Castelli Aleardi and Olivier Devillers. SCARST: Schnyder Compact and Regularity Sensitive Triangulation Data Structure. In 40th International Symposium on Computational Geometry (SoCG 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 293, pp. 32:1-32:19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)


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@InProceedings{castellialeardi_et_al:LIPIcs.SoCG.2024.32,
  author =	{Castelli Aleardi, Luca and Devillers, Olivier},
  title =	{{SCARST: Schnyder Compact and Regularity Sensitive Triangulation Data Structure}},
  booktitle =	{40th International Symposium on Computational Geometry (SoCG 2024)},
  pages =	{32:1--32:19},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-316-4},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{293},
  editor =	{Mulzer, Wolfgang and Phillips, Jeff M.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SoCG.2024.32},
  URN =		{urn:nbn:de:0030-drops-199779},
  doi =		{10.4230/LIPIcs.SoCG.2024.32},
  annote =	{Keywords: Meshes, compression, triangulations, compact representations}
}
Document
Fast Spherical Drawing of Triangulations: An Experimental Study of Graph Drawing Tools

Authors: Luca Castelli Aleardi, Gaspard Denis, and Éric Fusy

Published in: LIPIcs, Volume 103, 17th International Symposium on Experimental Algorithms (SEA 2018)


Abstract
We consider the problem of computing a spherical crossing-free geodesic drawing of a planar graph: this problem, as well as the closely related spherical parameterization problem, has attracted a lot of attention in the last two decades both in theory and in practice, motivated by a number of applications ranging from texture mapping to mesh remeshing and morphing. Our main concern is to design and implement a linear time algorithm for the computation of spherical drawings provided with theoretical guarantees. While not being aesthetically pleasing, our method is extremely fast and can be used as initial placer for spherical iterative methods and spring embedders. We provide experimental comparison with initial placers based on planar Tutte parameterization. Finally we explore the use of spherical drawings as initial layouts for (Euclidean) spring embedders: experimental evidence shows that this greatly helps to untangle the layout and to reach better local minima.

Cite as

Luca Castelli Aleardi, Gaspard Denis, and Éric Fusy. Fast Spherical Drawing of Triangulations: An Experimental Study of Graph Drawing Tools. In 17th International Symposium on Experimental Algorithms (SEA 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 103, pp. 24:1-24:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)


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@InProceedings{aleardi_et_al:LIPIcs.SEA.2018.24,
  author =	{Aleardi, Luca Castelli and Denis, Gaspard and Fusy, \'{E}ric},
  title =	{{Fast Spherical Drawing of Triangulations: An Experimental Study of Graph Drawing Tools}},
  booktitle =	{17th International Symposium on Experimental Algorithms (SEA 2018)},
  pages =	{24:1--24:14},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-070-5},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{103},
  editor =	{D'Angelo, Gianlorenzo},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SEA.2018.24},
  URN =		{urn:nbn:de:0030-drops-89597},
  doi =		{10.4230/LIPIcs.SEA.2018.24},
  annote =	{Keywords: Graph drawing, planar triangulations, spherical parameterizations}
}
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