mirror of https://github.com/CGAL/cgal
citations needed and intro of user manual
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@ -464,6 +464,30 @@ note="Conference version: Symp. on Geometry Processing 2003"
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,update = "97.08 kettner"
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}
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@article{cgal:cww-ghnac-13,
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author = {Crane, Keenan and Weischedel, Clarisse and Wardetzky, Max},
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title = {Geodesics in Heat: A New Approach to Computing Distance Based on Heat Flow},
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journal = {ACM Trans. Graph.},
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issue_date = {September 2013},
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volume = {32},
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number = {5},
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month = oct,
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year = {2013},
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issn = {0730-0301},
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pages = {152:1--152:11},
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articleno = {152},
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numpages = {11},
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url = {http://doi.acm.org/10.1145/2516971.2516977},
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doi = {10.1145/2516971.2516977},
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acmid = {2516977},
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publisher = {ACM},
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address = {New York, NY, USA},
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keywords = {Digital geometry processing, discrete differential geometry, distance transform, geodesic distance, heat kernel},
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}
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@PhdThesis{ cgal:d-ccccg-10,
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author = {Damiand, G.},
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title = {Contributions aux Cartes Combinatoires et Cartes G\'en\'eralis\'ees : Simplification, Mod\`eles, Invariants Topologiques et Applications},
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@ -715,6 +739,23 @@ Teillaud"
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,update = "95.09 mitchell"
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}
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@inproceedings{cgal:fsbs-acidt-06,
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author = {Fisher, Matthew and Springborn, Boris and Bobenko, Alexander I. and Schroder, Peter},
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title = {An Algorithm for the Construction of Intrinsic Delaunay Triangulations with Applications to Digital Geometry Processing},
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booktitle = {ACM SIGGRAPH 2006 Courses},
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series = {SIGGRAPH '06},
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year = {2006},
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isbn = {1-59593-364-6},
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location = {Boston, Massachusetts},
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pages = {69--74},
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numpages = {6},
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url = {http://doi.acm.org/10.1145/1185657.1185668},
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doi = {10.1145/1185657.1185668},
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acmid = {1185668},
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publisher = {ACM},
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address = {New York, NY, USA},
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}
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@InCollection{ cgal:fh-survey-05,
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author = {M. S. Floater and K. Hormann},
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title = {Surface Parameterization: a Tutorial and Survey},
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@ -6,11 +6,26 @@ namespace CGAL {
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\cgalAutoToc
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\author Keenan Crane, Christina Vaz, Andreas Fabri
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This chapter describes the ...
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This chapter describes the algorithm behind the Heat Method \cgalCite{cgal:cww-ghnac-13} and the algorithm behind Intrinsic Delaunay Triangulation \cgalCite{cgal:fsbs-acidt-06}.
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The Heat Method is an algorithm that solves the multiple-source shortest path problem by returning the distance from the points in the domain to the closest point in the source set.
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This algorithm computes this by first determining the direction along which distance increases and finishes by recovering the actual distance.
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The Heat Method is more efficient and more robust than previous distance computations, as the algorithm boils down to two standard, numerical linear algebra problems.
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In Section \ref sec_HM_definitions we give some definitions. In Section \ref sec_HM_history we explain the design of the algorithm and traits.
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Note that this package requires the third party library <a href="https://doc.cgal.org/latest/Manual/installation.html#thirdpartyEigen">Eigen</a>.
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This implementation is based on \cgalCite{cgal:cww-ghnac-13} and \cgalCite{cgal:fsbs-acidt-06}
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\section sec_HM_definitions Definitions
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Section \ref Subsection_HM_Definitions_Intro gives an overview of the structures needed by the heat method and how to calculate them. The Section
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\ref Subsection_HM_IDT_Definitions gives the background needed for the Intrinsic Delaunay Triangulation.
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Section on definitions here ...
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\subsection Subsection_HM_Definitions_Intro The Heat Method Algorithm
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\subsection Subsection_HM_IDT_Definitions
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\section sec_HM_examples Examples
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