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authorvrouvrea <vrouvrea@636b058d-ea47-450e-bf9e-a15bfbe3eedb>2016-10-11 13:57:03 +0000
committervrouvrea <vrouvrea@636b058d-ea47-450e-bf9e-a15bfbe3eedb>2016-10-11 13:57:03 +0000
commit16aaf4cda5fd97da12a7f1da8b0a5168fac2e289 (patch)
tree31554bf878ca21a6330a4a28116398e400072427 /biblio
parent74bb6a8a2179090ffc5e65bb7e33fdff62ae4a65 (diff)
Problem of merge with tangentialcomplex branch.
Redo in an integration branch git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/tangential_integration@1701 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: fa029e8e90b3e203ea675f02098ec6fe95596f9f
Diffstat (limited to 'biblio')
-rw-r--r--biblio/bibliography.bib15
-rw-r--r--biblio/how_to_cite_gudhi.bib9
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diff --git a/biblio/bibliography.bib b/biblio/bibliography.bib
index 9fc01a5d..4940ec78 100644
--- a/biblio/bibliography.bib
+++ b/biblio/bibliography.bib
@@ -306,6 +306,21 @@ language={English},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
+%------------------------------------------------------------------
+@article{tangentialcomplex2014,
+author="Boissonnat, Jean-Daniel and Ghosh, Arijit",
+title="Manifold Reconstruction Using Tangential Delaunay Complexes",
+journal="Discrete {\&} Computational Geometry",
+year="2014",
+volume="51",
+number="1",
+pages="221--267",
+abstract="We give a provably correct algorithm to reconstruct a k-dimensional smooth manifold embedded in d-dimensional Euclidean space. The input to our algorithm is a point sample coming from an unknown manifold. Our approach is based on two main ideas: the notion of tangential Delaunay complex defined in Boissonnat and Fl{\"o}totto (Comput. Aided Des. 36:161--174, 2004), Fl{\"o}totto (A coordinate system associated to a point cloud issued from a manifold: definition, properties and applications. Ph.D. thesis, 2003), Freedman (IEEE Trans. Pattern Anal. Mach. Intell. 24(10), 2002), and the technique of sliver removal by weighting the sample points (Cheng et al. in J. ACM 47:883--904, 2000). Differently from previous methods, we do not construct any subdivision of the d-dimensional ambient space. As a result, the running time of our algorithm depends only linearly on the extrinsic dimension d while it depends quadratically on the size of the input sample, and exponentially on the intrinsic dimension k. To the best of our knowledge, this is the first certified algorithm for manifold reconstruction whose complexity depends linearly on the ambient dimension. We also prove that for a dense enough sample the output of our algorithm is isotopic to the manifold and a close geometric approximation of the manifold.",
+issn="1432-0444",
+doi="10.1007/s00454-013-9557-2",
+url="http://dx.doi.org/10.1007/s00454-013-9557-2"
+}
+
%BOOKS
%------------------------------------------------------------------
@book{DBLP:tibkat_237559129,
diff --git a/biblio/how_to_cite_gudhi.bib b/biblio/how_to_cite_gudhi.bib
index 9a143487..7e1eac4f 100644
--- a/biblio/how_to_cite_gudhi.bib
+++ b/biblio/how_to_cite_gudhi.bib
@@ -85,4 +85,13 @@
, booktitle = "{GUDHI} User and Reference Manual"
, url = "http://gudhi.gforge.inria.fr/doc/latest/group__spatial__searching.html"
, year = 2016
+}
+
+@incollection{gudhi:Tangential complex
+, author = "Cl\'ement Jamin"
+, title = "Tangential complex"
+, publisher = "{GUDHI Editorial Board}"
+, booktitle = "{GUDHI} User and Reference Manual"
+, url = "http://gudhi.gforge.inria.fr/doc/latest/group__tangential__complex.html"
+, year = 2016
} \ No newline at end of file