From d1fd9723fc49ee430203166fca71ea20b96f6b7b Mon Sep 17 00:00:00 2001 From: mcarrier Date: Tue, 4 Jul 2017 10:07:48 +0000 Subject: git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/Nerve_GIC@2581 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 3483c0a74ae9059c9511fe539e04ed5a2dfba3af --- src/Nerve_GIC/doc/Intro_graph_induced_complex.h | 27 ++++++++++++++----------- 1 file changed, 15 insertions(+), 12 deletions(-) (limited to 'src/Nerve_GIC/doc/Intro_graph_induced_complex.h') diff --git a/src/Nerve_GIC/doc/Intro_graph_induced_complex.h b/src/Nerve_GIC/doc/Intro_graph_induced_complex.h index c03d37d8..7120ada3 100644 --- a/src/Nerve_GIC/doc/Intro_graph_induced_complex.h +++ b/src/Nerve_GIC/doc/Intro_graph_induced_complex.h @@ -34,9 +34,9 @@ namespace graph_induced_complex { * @{ * * Visualizations of the simplicial complexes can be done with either - * neato , - * geomview , or - * python + firefox . + * neato (from graphviz ), + * geomview , or + * python + firefox . * * \section covers Covers * @@ -88,7 +88,7 @@ namespace graph_induced_complex { * * one can obtain the following visualization: * - * \image html "nervevisu.png" "Visualization with Kepler Mapper" + * \image html "nervevisu.jpg" "Visualization with Kepler Mapper" * * \section gic Graph Induced Complexes (GIC) * @@ -101,8 +101,7 @@ namespace graph_induced_complex { * See this article * for more details. * - * \image html "gic_complex.png" "GIC of a point cloud. Image taken from - * this article " + * \image html "gic_complex.png" "GIC of a point cloud. Courtesy of Tamal Dey." * * \subsection gicexample Example with cover from function * @@ -122,7 +121,7 @@ namespace graph_induced_complex { * * the program outputs SC.txt, which can be visualized with python and firefox as before: * - * \image html "gicvisu.png" "Visualization with Kepler Mapper" + * \image html "gicvisu.jpg" "Visualization with Kepler Mapper" * * \subsection gicexamplevor Example with cover from Voronoï * @@ -130,13 +129,14 @@ namespace graph_induced_complex { * We randomly subsampled 100 points in the point cloud, which act as seeds of * a geodesic Voronoï diagram. Each cell of the diagram is then an element of C. * The graph G (used to compute both the geodesics for Voronoï and the GIC) - * comes from the triangulation of the human shape. + * comes from the triangulation of the human shape. Note that the resulting simplicial complex is in dimension 3 + * in this example. * * \include Nerve_GIC/GICvoronoi.cpp * * When launching: * - * \code $> ./GICvoronoi ../../../../data/points/human.off 100 --v + * \code $> ./GICvoronoi ../../../../data/points/human.off 700 --v * \endcode * * the program outputs SC.off. Using e.g. @@ -146,7 +146,7 @@ namespace graph_induced_complex { * * one can obtain the following visualization: * - * \image html "gicvoronoivisu.png" "Visualization with Geomview" + * \image html "gicvoronoivisu.jpg" "Visualization with Geomview" * * \subsection mapperdeltadefinition Mapper Delta * @@ -180,7 +180,10 @@ namespace graph_induced_complex { * * one can obtain the following visualization: * - * \image html "mapperdeltacoordvisu2.pdf" "Visualization with Neato" + * \image html "mapperdeltacoordvisu2.jpg" "Visualization with Neato" + * + * where nodes are colored by the filter function values and, for each node, the first number is its ID + * and the second is the number of data points that its contain. * * We also provide an example on a set of 72 pictures taken around the same object (lucky_cat.off). * The function is now the first eigenfunction given by PCA, whose values @@ -195,7 +198,7 @@ namespace graph_induced_complex { * * the program outputs again SC.dot which gives the following visualization after using neato: * - * \image html "mapperdeltafuncvisu.pdf" "Visualization with Neato" + * \image html "mapperdeltafuncvisu.jpg" "Visualization with Neato" * * \copyright GNU General Public License v3. * \verbatim Contact: gudhi-users@lists.gforge.inria.fr \endverbatim -- cgit v1.2.3