Merge pull request #7688 from hoskillua/heat-method-doc

Added missing reference to a paper in Heat method
This commit is contained in:
Laurent Rineau 2023-09-13 16:17:07 +02:00
commit 6a7080df9a
2 changed files with 11 additions and 1 deletions

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@ -2049,6 +2049,16 @@ ABSTRACT = {We present the first complete, exact and efficient C++ implementatio
update = "09.11 penarand" update = "09.11 penarand"
} }
@article{ cgal:sc-lntm-20
,author = {Nicholas Sharp and Keenan Crane}
,title = {{A Laplacian for Nonmanifold Triangle Meshes}}
,journal = {Computer Graphics Forum (SGP)}
,url = "https://www.cs.cmu.edu/~kmcrane/Projects/NonmanifoldLaplace/NonmanifoldLaplace.pdf"
,volume = {39}
,number = {5}
,year = {2020}
}
@inproceedings{cgal:ssgh-tmpm-01, @inproceedings{cgal:ssgh-tmpm-01,
title={Texture mapping progressive meshes}, title={Texture mapping progressive meshes},
author={Sander, Pedro V and Snyder, John and Gortler, Steven J and Hoppe, Hugues}, author={Sander, Pedro V and Snyder, John and Gortler, Steven J and Hoppe, Hugues},

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@ -41,7 +41,7 @@ the mathematical theory of the Heat method. The last section is about the \ref s
Note that this package depends on the third party \ref thirdpartyEigen library (3.3 or greater), or another Note that this package depends on the third party \ref thirdpartyEigen library (3.3 or greater), or another
model of the concept `SparseLinearAlgebraWithFactorTraits_d`. model of the concept `SparseLinearAlgebraWithFactorTraits_d`.
This implementation is based on \cgalCite{cgal:cww-ghnac-13} and \cgalCite{cgal:fsbs-acidt-06} This implementation is based on \cgalCite{cgal:cww-ghnac-13} , \cgalCite{cgal:fsbs-acidt-06} , and \cgalCite{cgal:sc-lntm-20}
This package is related to the package \ref PkgSurfaceMeshShortestPath. Both deal with geodesic distances. This package is related to the package \ref PkgSurfaceMeshShortestPath. Both deal with geodesic distances.
The heat method package computes for every vertex of a mesh an approximate distance to one or several source vertices. The heat method package computes for every vertex of a mesh an approximate distance to one or several source vertices.