1. Otfried Cheong, Kurt Mehlhorn, and Monique Teillaud, editors. Computational Geometry (Dagstuhl Seminar), number 13101 of Dagstuhl Reports, 2013. Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik. ISSN: 2192-5283. [WWW] [doi:http://dx.doi.org/10.4230/DagRep.3.3.1]



2. Stephen G. Kobourov, Martin Nöllenburg, and Monique Teillaud, editors. Drawing Graphs and Maps with Curves (Dagstuhl Seminar), number 13151 of Dagstuhl Reports, 2013. Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik. ISSN: 2192-5283. [WWW] [doi:10.4230/DagRep.3.4.34]

1. Ricard Campos, Rafael Garcia, Pierre Alliez, and Mariette Yvinec. Splat-based Surface Reconstruction from Defect-Laden Point Sets. Graphical Models, 75(6):346-361, November 2013. Note: FP7-ICT-2011-7-288704 MINECO Grant CTM2010-15216. [WWW] [PDF] [doi:10.1016/j.gmod.2013.08.001] Keyword(s): Surface reconstruction, splat-based representation, RANSAC fitting, Delaunay refinement.



2. Dan Chen, Olivier Devillers, John Iacono, Stefan Langerman, and Pat Morin. Oja centers and centers of gravity. Computational Geometry: Theory and Applications, 46:140-147, 2013. [WWW] [doi:10.1016/j.comgeo.2012.04.004]



3. Olivier Devillers, Marc Glisse, Xavier Goaoc, Guillaume Moroz, and Matthias Reitzner. The monotonicity of $f$-vectors of random polytopes. Electronic Communications in Probability, 18(23):1-8, 2013. [WWW] [doi:10.1214/ECP.v18-2469]



4. Efi Fogel and Monique Teillaud. The Computational Geometry Algorithms Library CGAL. ACM Communications in Computer Algebra, 47(3):85-87, September 2013. [WWW]



5. Pedro Machado Manhães de Castro and Olivier Devillers. Practical Distribution-Sensitive Point Location in Triangulations. Computer Aided Geometric Design, 30:431-450, 2013. [WWW] [doi:10.1016/j.cagd.2013.02.004]

1. Patrizio Angelini, David Eppstein, Fabrizio Frati, Michael Kaufmann, Sylvain Lazard, Tamara Mchedlidze, Monique Teillaud, and Alexander Wolff. Universal Point Sets for Planar Graph Drawings with Circular Arcs. In Proceedings 25th Canadian Conference on Computational Geometry, pages 117-122, 2013. [WWW]



2. Dominique Attali, Ulrich Bauer, Olivier Devillers, Marc Glisse, and André Lieutier. Homological reconstruction and simplification in $I\!\!R^3$. In Proc. of the 29th Annual Symposium on Computational Geometry, pages 117-125, 2013. [WWW] [doi:10.1145/2462356.2462373]



3. Mikhail Bogdanov, Olivier Devillers, and Monique Teillaud. Hyperbolic Delaunay complexes and Voronoi diagrams made practical. In Proc. of the 29th Annual Symposium on Computational Geometry, pages 67-76, 2013. [WWW] [doi:10.1145/2462356.2462365]



4. Jean-Daniel Boissonnat, Tamal K. Dey, and Clément Maria. The Compressed Annotation Matrix: an Efficient Data Structure for Computing Persistent Cohomology. In Proc. 21th European Symposium on Algorithms, LNCS, 2013. [WWW]



5. Kevin Buchin, Olivier Devillers, Wolfgang Mulzer, Okke Schrijvers, and Jonathan Shewchuk. Vertex Deletion for 3D Delaunay Triangulations. In Proc. 21th European Symposium on Algorithms, volume 8125 of LNCS, pages 253-264, 2013. [WWW]



6. Olivier Devillers, Marc Glisse, and Xavier Goaoc. Complexity analysis of random geometric structures made simpler. In Proc. of the 29th Annual Symposium on Computational Geometry, pages 167-175, 2013. [WWW] [doi:10.1145/2462356.2462362]



7. Gary Miller and Don Sheehy. A New Approach to Output-Sensite Voronoi Diagrams and Delaunay Triangulations. In Proc. of the 29th Annual Symposium on Computational Geometry, 2013.



8. Gary Miller, Don Sheehy, and Ameya Velingker. A Fast Algorithm for Well-Spaced Points and Approximate Delaunay Graphs. In Proc. of the 29th Annual Symposium on Computational Geometry, 2013. [WWW]



9. Steve Oudot and Don Sheehy. Zigzag Zoology: Rips Zigzags for Homology Inference. In Proc. of the 29th Annual Symposium on Computational Geometry, 2013. [WWW]

1. Olivier Devillers, Marc Glisse, and Rémy Thomasse. A convex body with chaotic random convex hull. Research Report 8437, INRIA, 2013. [WWW]



2. Clément Jamin, Pierre Alliez, Mariette Yvinec, and Jean-Daniel Boissonnat. CGALmesh: a Generic Framework for Delaunay Mesh Generation. Research Report 8256, INRIA, 2013. [WWW] [PDF]

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