mirror of https://github.com/CGAL/cgal
benchmark on new Poisson_mesh_domain_3 (also with parallel make_mesh_3) work on documentation
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Sven Oesau
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@ -13,7 +13,7 @@ This \cgal component implements a surface reconstruction method which
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takes as input point sets with oriented normals and computes an
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implicit function. We assume that the input points contain no outliers
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and little noise. The output surface mesh is generated by extracting
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an isosurface of this function with the \cgal Surface Mesh Generator
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an isosurface of this function with the \ref Chapter_3D_Mesh_Generation or \cgal Surface Mesh Generator
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\cgalCite{cgal:ry-gsddrm-06} or potentially with any other surface
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contouring algorithm.
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@ -120,10 +120,12 @@ The following example reads a point set, creates a Poisson implicit function and
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The computed implicit functions can be iso-contoured to reconstruct a
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surface by using the \cgal surface mesh generator
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surface by using the \ref Chapter_3D_Mesh_Generation or the \cgal surface mesh generator
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\cgalCite{cgal:ry-gsddrm-06} \cgalCite{cgal:bo-pgsms-05} :
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`make_surface_mesh()`
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`make_mesh_3()` for using parallel Mesh_3
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`make_surface_mesh()` of using the deprecated 3D Surface Mesh Generation
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The parameter `Tag` affects the behavior of `make_surface_mesh()`:
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- `Manifold_tag`: the output mesh is guaranteed to be a manifold surface without boundary.
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@ -132,7 +134,10 @@ The parameter `Tag` affects the behavior of `make_surface_mesh()`:
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\subsection Poisson_surface_reconstruction_3Output Output
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The surface reconstructed by `make_surface_mesh()` is required to be a
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The surface reconstructed by `make_mesh_3()` is required to be a model of the concept
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`MeshComplex_3InTriangulation_3`, a data structure devised to represent a three dimensional complex embedded into a three dimensional triangulation. The surface facets can then be extracted into a face graph by `facets_in_complex_3_to_triangle_mesh()`.
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The surface reconstructed by `make_surface_mesh()` instead is required to be a
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model of the concept `SurfaceMeshComplex_2InTriangulation_3`, a data
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structure devised to represent a two dimensional complex embedded into
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a three dimensional triangulation.
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@ -339,15 +344,15 @@ Left: 5K points sampled on a mechanical piece with sharp features (creases, dart
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We provide some performance numbers for scanning data. We measure the Poisson implicit function computation time,
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the contouring time for a range of approximation distances, the memory occupancy as well as the influence of
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the point set simplification. The machine used is a PC running Windows 7 64 bits with an Intel CPU Core 2 Duo
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processor clocked at 2.81 GHz and with 8 GB of RAM. The software is compiled with Visual \CC 2010 (VC9) compiler
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the point set simplification. The machine used is a PC running Windows 10 64 bits with an Intel CPU Core i7-11850H
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processor with 8 cores and 32 GB of RAM. The software is compiled with Visual \CC 2022 compiler
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with the 03 option which maximizes speed. All measurements were done using the \ref thirdpartyEigen "Eigen" library.
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\subsection SurfReconstPerfPIF Poisson Implicit Function
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The point set chosen for benchmarking the Poisson implicit function is the Bimba con Nastrino point set
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(1.6 million points) depicted by \cgalFigureRef{Poisson_surface_reconstruction_3-fig-contouring_bench}.
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The point set chosen for benchmarking the Poisson implicit function is the Lucy statue point set from the
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<a href="https://graphics.stanford.edu/data/3Dscanrep/">The Stanford 3D Scanning Repository</a>
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(originally 14 million points, here downscaled to 2.9 million points) depicted by \cgalFigureRef{Poisson_surface_reconstruction_3-fig-contouring_bench}.
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We measure the Poisson implicit function computation (i.e., the call to
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`Poisson_reconstruction_function::compute_implicit_function()` denoted by Poisson solve hereafter)
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for this point set as well as for simplified versions obtained through random simplification.
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@ -357,115 +362,213 @@ The following table provides Poisson solve computation times in seconds for an i
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<TR><TD ALIGN=LEFT NOWRAP COLSPAN=2><HR>
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
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Number of points (x1000)
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<TD class="math" ALIGN=CENTER NOWRAP>
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Poisson solve duration (in s)
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<TR><TD ALIGN=LEFT NOWRAP COLSPAN=2><HR>
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
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30
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<TD class="math" ALIGN=CENTER NOWRAP>
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3.3
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
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60
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<TD class="math" ALIGN=CENTER NOWRAP>
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15
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
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100
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<TD class="math" ALIGN=CENTER NOWRAP>
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25
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7.7
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
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250
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120
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<TD class="math" ALIGN=CENTER NOWRAP>
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96
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18.1
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
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500
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237.5
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<TD class="math" ALIGN=CENTER NOWRAP>
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150
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35.1
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
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1,000
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375
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<TD class="math" ALIGN=CENTER NOWRAP>
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249
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64
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
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1,800
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750
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<TD class="math" ALIGN=CENTER NOWRAP>
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478
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129
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
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1,500
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<TD class="math" ALIGN=CENTER NOWRAP>
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303
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
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2,900
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<TD class="math" ALIGN=CENTER NOWRAP>
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486
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<TR><TD ALIGN=LEFT NOWRAP COLSPAN=2><HR>
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</TABLE>
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\subsection SurfReconstPerfCont Contouring
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The point set chosen for benchmarking the contouring stage is the Bimba con Nastrino point
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set simplified to 100k points. We measure the contouring (i.e.\ the call to `make_surface_mesh()`)
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The point set chosen for benchmarking the contouring stage is the Lucy point
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set simplified to 2.9M points. We measure the contouring (i.e.\ the calls to `make_mesh_3()` and `facets_in_complex_3_to_triangle_mesh()`)
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duration and the reconstruction error for a range of approximation distances.
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The reconstruction error is expressed as the average distance from input points to the reconstructed surface
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in mm (the Bimba con Nastrino statue is 324 mm tall).
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The reconstruction error is expressed as the average distance from input points to the reconstructed surface in mm (the Lucy statue is 1597 mm tall).
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<TABLE CELLSPACING=5 >
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<TR><TD ALIGN=LEFT NOWRAP COLSPAN=3><HR>
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<TR><TD ALIGN=LEFT NOWRAP COLSPAN=4><HR>
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
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Approx. distance (*average spacing)
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<TD class="math" ALIGN=CENTER NOWRAP>
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Contouring duration (in s)
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Contouring duration single-thread (in s)
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<TD class="math" ALIGN=CENTER NOWRAP>
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Contouring duration parallel (in s)
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<TD class="math" ALIGN=CENTER NOWRAP>
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Reconstruction error (mm)
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<TR><TD ALIGN=LEFT NOWRAP COLSPAN=3><HR>
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<TR><TD ALIGN=LEFT NOWRAP COLSPAN=4><HR>
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
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0.05
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<TD class="math" ALIGN=CENTER NOWRAP>
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582
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<TD class="math" ALIGN=CENTER NOWRAP>
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112
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<TD class="math" ALIGN=CENTER NOWRAP>
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0.114
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
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0.1
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<TD class="math" ALIGN=CENTER NOWRAP>
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19.2
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221
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<TD class="math" ALIGN=CENTER NOWRAP>
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0.055
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26
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<TD class="math" ALIGN=CENTER NOWRAP>
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0.119
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
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0.15
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<TD class="math" ALIGN=CENTER NOWRAP>
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104
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<TD class="math" ALIGN=CENTER NOWRAP>
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25
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<TD class="math" ALIGN=CENTER NOWRAP>
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0.129
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
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0.2
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<TD class="math" ALIGN=CENTER NOWRAP>
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69.4
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<TD class="math" ALIGN=CENTER NOWRAP>
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9.2
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<TD class="math" ALIGN=CENTER NOWRAP>
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0.14
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
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0.25
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<TD class="math" ALIGN=CENTER NOWRAP>
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6.9
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53.6
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<TD class="math" ALIGN=CENTER NOWRAP>
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0.106
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7.0
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<TD class="math" ALIGN=CENTER NOWRAP>
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0.151
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
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0.5
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<TD class="math" ALIGN=CENTER NOWRAP>
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3.2
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25.2
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<TD class="math" ALIGN=CENTER NOWRAP>
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0.18
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3.6
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<TD class="math" ALIGN=CENTER NOWRAP>
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0.209
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
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0.75
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<TD class="math" ALIGN=CENTER NOWRAP>
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16.4
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<TD class="math" ALIGN=CENTER NOWRAP>
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4.9
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<TD class="math" ALIGN=CENTER NOWRAP>
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0.209
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
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1
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<TD class="math" ALIGN=CENTER NOWRAP>
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1.65
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12.4
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<TD class="math" ALIGN=CENTER NOWRAP>
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0.36
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2.3
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<TD class="math" ALIGN=CENTER NOWRAP>
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0.33
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
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1.5
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<TD class="math" ALIGN=CENTER NOWRAP>
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8.2
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<TD class="math" ALIGN=CENTER NOWRAP>
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1.4
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<TD class="math" ALIGN=CENTER NOWRAP>
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0.455
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
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2
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<TD class="math" ALIGN=CENTER NOWRAP>
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6.1
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<TD class="math" ALIGN=CENTER NOWRAP>
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1.1
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<TD class="math" ALIGN=CENTER NOWRAP>
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0.59
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
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3
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<TD class="math" ALIGN=CENTER NOWRAP>
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4.0
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<TD class="math" ALIGN=CENTER NOWRAP>
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0.8
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<TD class="math" ALIGN=CENTER NOWRAP>
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0.76
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<TR><TD ALIGN=LEFT NOWRAP COLSPAN=3><HR>
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0.87
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
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5
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<TD class="math" ALIGN=CENTER NOWRAP>
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2.3
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<TD class="math" ALIGN=CENTER NOWRAP>
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0.7
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<TD class="math" ALIGN=CENTER NOWRAP>
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1.50
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<TR>
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<TD ALIGN=LEFT NOWRAP COLSPAN=3><HR>
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</TABLE>
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\cgalFigureBegin{Poisson_surface_reconstruction_3-fig-contouring_bench,contouring_bench.jpg}
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\cgalFigureAnchor{Poisson_surface_reconstruction_3-fig-contouring_bench}
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<center>
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<img src="contouring_bench_4.jpg" style="max-width:80%;"/>
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</center>
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\cgalFigureCaptionBegin{Poisson_surface_reconstruction_3-fig-contouring_bench}
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Contouring duration (in s) and reconstruction error (mm)
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against several approximation distance parameters
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for the Bimba con Nastrino point set simplified to 100k points.
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\cgalFigureEnd
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for the Lucy point set simplified to 100k points.
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\cgalFigureCaptionEnd
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\subsection SurfReconstPerfMem Memory
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We measure the memory occupancy for the reconstruction of the full Bimba con Nastrino point
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set (1.8 millions points) as well as for simplified versions.\n
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We measure the memory occupancy for the reconstruction of the Lucy point
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set (2.9 millions points) as well as for further simplified versions.\n
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The Poisson implicit function computation has a memory peak when solving the Poisson linear
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system using the sparse linear solver.
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@ -479,34 +582,44 @@ Memory occupancy (MBytes)
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<TR><TD ALIGN=LEFT NOWRAP COLSPAN=2><HR>
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
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30
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<TD class="math" ALIGN=CENTER NOWRAP>
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128
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
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60
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<TD class="math" ALIGN=CENTER NOWRAP>
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180
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226
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
|
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100
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120
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<TD class="math" ALIGN=CENTER NOWRAP>
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270
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431
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
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250
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237.5
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<TD class="math" ALIGN=CENTER NOWRAP>
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790
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813
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
|
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500
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375
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<TD class="math" ALIGN=CENTER NOWRAP>
|
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1300
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1,232
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
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1,000
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750
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<TD class="math" ALIGN=CENTER NOWRAP>
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2200
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2,283
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
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1,800
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1,500
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<TD class="math" ALIGN=CENTER NOWRAP>
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3800
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4,042
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
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2,900
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<TD class="math" ALIGN=CENTER NOWRAP>
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6,868
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<TR><TD ALIGN=LEFT NOWRAP COLSPAN=2><HR>
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</TABLE>
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@ -514,11 +627,11 @@ Memory occupancy (MBytes)
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\subsection SurfReconstPerfPSS Point Set Simplification
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Due to the memory limitations described above, we recommend to simplify the point sets captured by laser scanners.\n
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We measure the reconstruction error for the Bimba con Nastrino point set (1.6M points) as well as for
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We measure the reconstruction error for the Lucy point set (2.9M points) as well as for
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simplified versions. All reconstructions use the recommended contouring parameter
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`approximation distance = 0.25 * the input point` set's average spacing.
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The reconstruction error is expressed as the average distance from input points to the reconstructed surface in mm
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(the Bimba con Nastrino statue is 324 mm tall).
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(the Lucy statue is 1597 mm tall).
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<TABLE CELLSPACING=5 >
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<TR><TD ALIGN=LEFT NOWRAP COLSPAN=2><HR>
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@ -530,46 +643,66 @@ Reconstruction error (mm)
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<TR><TD ALIGN=LEFT NOWRAP COLSPAN=2><HR>
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
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3.75
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<TD class="math" ALIGN=CENTER NOWRAP>
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9.88395
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
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7.5
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<TD class="math" ALIGN=CENTER NOWRAP>
|
||||
5.81843
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
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15
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||||
<TD class="math" ALIGN=CENTER NOWRAP>
|
||||
3.13479
|
||||
<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
|
||||
30
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||||
<TD class="math" ALIGN=CENTER NOWRAP>
|
||||
2.25391
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||||
<TR>
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||||
<TD class="math" ALIGN=CENTER NOWRAP>
|
||||
60
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||||
<TD class="math" ALIGN=CENTER NOWRAP>
|
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0.27
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||||
1.42965
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
|
||||
120
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||||
<TD class="math" ALIGN=CENTER NOWRAP>
|
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0.15
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1.17589
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
|
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250
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||||
237.5
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<TD class="math" ALIGN=CENTER NOWRAP>
|
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0.11
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||||
0.99509
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<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
|
||||
500
|
||||
375
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||||
<TD class="math" ALIGN=CENTER NOWRAP>
|
||||
0.079
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||||
0.75215
|
||||
<TR>
|
||||
<TD class="math" ALIGN=CENTER NOWRAP>
|
||||
1,000
|
||||
750
|
||||
<TD class="math" ALIGN=CENTER NOWRAP>
|
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0.066
|
||||
0.344654
|
||||
<TR>
|
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<TD class="math" ALIGN=CENTER NOWRAP>
|
||||
1,500
|
||||
<TD class="math" ALIGN=CENTER NOWRAP>
|
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0.061
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||||
0.225341
|
||||
<TR>
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<TD class="math" ALIGN=CENTER NOWRAP>
|
||||
1,600
|
||||
2,900
|
||||
<TD class="math" ALIGN=CENTER NOWRAP>
|
||||
0.06
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||||
0.150947
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<TR><TD ALIGN=LEFT NOWRAP COLSPAN=2><HR>
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</TABLE>
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\cgalFigureBegin{Poisson_surface_reconstruction_3-fig-simplification_bench,simplification_bench.jpg}
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\cgalFigureBegin{Poisson_surface_reconstruction_3-fig-simplification_bench,simplification_bench_2.jpg}
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Reconstruction error (mm) against number of points
|
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for the Bimba con Nastrino point set with 1.6M points
|
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for the Lucy point set with 2.9M points
|
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as well as for simplified versions.
|
||||
\cgalFigureEnd
|
||||
|
||||
|
|
|
|||
|
|
@ -1,8 +1,11 @@
|
|||
Manual
|
||||
Kernel_23
|
||||
BGL
|
||||
STL_Extension
|
||||
Mesh_3
|
||||
Algebraic_foundations
|
||||
Circulator
|
||||
Stream_support
|
||||
Point_set_processing_3
|
||||
Solver_interface
|
||||
SMDS_3
|
||||
|
|
|
|||
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|
Before Width: | Height: | Size: 65 KiB After Width: | Height: | Size: 53 KiB |
|
|
@ -18,7 +18,7 @@
|
|||
#ifndef CGAL_POISSON_MESH_DOMAIN_3_H
|
||||
#define CGAL_POISSON_MESH_DOMAIN_3_H
|
||||
|
||||
#include <CGAL/license/Mesh_3.h>
|
||||
#include <CGAL/license/Poisson_surface_reconstruction_3.h>
|
||||
|
||||
#include <CGAL/Labeled_mesh_domain_3.h>
|
||||
#include <CGAL/Poisson_reconstruction_function.h>
|
||||
|
|
@ -26,13 +26,13 @@
|
|||
namespace CGAL {
|
||||
|
||||
/*!
|
||||
\ingroup PkgMesh3Domains
|
||||
\ingroup PkgPoissonSurfaceReconstruction3Ref
|
||||
|
||||
\brief The class `Poisson_mesh_domain_3` derives from `Labeled_mesh_domain_3` for the handling of `Poisson_reconstruction_function`.
|
||||
|
||||
This class has a constructor taking a labeling function. It has also a static template member
|
||||
function that acts as named constructor:
|
||||
<ul><li>`create_Poisson_mesh_domain()`, to create a domain from a `Poisson_reconstruction_function`</ ul>
|
||||
<ul><li>`create_Poisson_mesh_domain()`</li>, to create a domain from a `Poisson_reconstruction_function`</ul>
|
||||
|
||||
\tparam BGT is a geometric traits class that provides
|
||||
the basic operations to implement intersection tests and intersection computations through a bisection
|
||||
|
|
@ -117,9 +117,10 @@ public:
|
|||
/// @{
|
||||
/*! \brief Construction from a function, a bounding object and a relative error bound.
|
||||
*
|
||||
* \tparam NamedParameters a sequence of \ref bgl_namedparameters "Named Parameters"
|
||||
* \tparam Bounding_object either a bounding sphere (of type `Sphere_3`), a bounding box (type `Bbox_3`),
|
||||
* or a bounding `Iso_cuboid_3`
|
||||
* \tparam NamedParameters
|
||||
* a sequence of \ref bgl_namedparameters "Named Parameters"
|
||||
*
|
||||
* \param function the Poisson reconstruction function
|
||||
* \param bounding_object the bounding object bounding the meshable space.
|
||||
|
|
@ -136,14 +137,41 @@ public:
|
|||
*/
|
||||
template<typename Bounding_object, typename CGAL_NP_TEMPLATE_PARAMETERS>
|
||||
Poisson_mesh_domain_3(const Function& function,
|
||||
const Bounding_object& bounding_object,
|
||||
const CGAL_NP_CLASS& np = parameters::default_values()
|
||||
const Bounding_object& bounding_object,
|
||||
const CGAL_NP_CLASS& np = parameters::default_values()
|
||||
#ifndef DOXYGEN_RUNNING
|
||||
, typename std::enable_if<!is_named_function_parameter<Function>>::type* = nullptr
|
||||
, typename std::enable_if<!is_named_function_parameter<Function>>::type* = nullptr
|
||||
#endif // DOXYGEN_RUNNING
|
||||
)
|
||||
: Base(make_implicit_to_labeling_function_wrapper<BGT>(function), bounding_object, np),
|
||||
poisson_function(function)
|
||||
)
|
||||
: Base(make_implicit_to_labeling_function_wrapper<BGT>(function), bounding_object, np),
|
||||
poisson_function(function)
|
||||
{}
|
||||
|
||||
/*! \brief Construction from a function, a bounding object and a relative error bound.
|
||||
*
|
||||
* \tparam NamedParameters a sequence of \ref bgl_namedparameters "Named Parameters"
|
||||
*
|
||||
* \param function the Poisson reconstruction function
|
||||
* \param np an optional sequence of \ref bgl_namedparameters "Named Parameters" among the ones listed below:
|
||||
*
|
||||
* \cgalNamedParamsBegin
|
||||
* \cgalParamNBegin{relative_error_bound}
|
||||
* \cgalParamDescription{the relative error bound used to compute intersection points between the implicit surface and query segments.
|
||||
* The bisection is stopped when the length of the intersected segment is less than the product
|
||||
* of `relative_error_bound` by the diameter of the bounding object.}
|
||||
* \cgalParamDefault{FT(1e-3)}
|
||||
* \cgalParamNEnd
|
||||
* \cgalNamedParamsEnd
|
||||
*/
|
||||
template<typename CGAL_NP_TEMPLATE_PARAMETERS>
|
||||
Poisson_mesh_domain_3(const Function & function,
|
||||
const CGAL_NP_CLASS& np = parameters::default_values()
|
||||
#ifndef DOXYGEN_RUNNING
|
||||
, typename std::enable_if<!is_named_function_parameter<Function>>::type * = nullptr
|
||||
#endif // DOXYGEN_RUNNING
|
||||
)
|
||||
: Base(make_implicit_to_labeling_function_wrapper<BGT>(function), function.bounding_sphere(), np),
|
||||
poisson_function(function)
|
||||
{}
|
||||
///@}
|
||||
|
||||
|
|
@ -185,7 +213,7 @@ public:
|
|||
* or a bounding `Iso_cuboid_3`
|
||||
*
|
||||
* \param function the Poisson reconstruction function
|
||||
* \param bounding_object object boundint the meshable domain and its center is inside the domain.
|
||||
* \param bounding_object object bounding the meshable domain and its center is inside the domain.
|
||||
* \param np an optional sequence of \ref bgl_namedparameters "Named Parameters" among the ones listed below:
|
||||
*
|
||||
* \cgalNamedParamsBegin
|
||||
|
|
|
|||
|
|
@ -460,7 +460,7 @@ public:
|
|||
// Add a pass of Delaunay refinement.
|
||||
//
|
||||
// In that pass, the sizing field, of the refinement process of the
|
||||
// triangulation, is based on the result of a poisson function with a
|
||||
// triangulation, is based on the result of a Poisson function with a
|
||||
// sample of the input points. The ratio is 'approximation_ratio'.
|
||||
//
|
||||
// For optimization reasons, the cell criteria of the refinement
|
||||
|
|
|
|||
|
|
@ -5,6 +5,8 @@ project(Poisson_surface_reconstruction_3_Tests)
|
|||
|
||||
# Find CGAL
|
||||
find_package(CGAL REQUIRED)
|
||||
find_package(TBB REQUIRED)
|
||||
include(CGAL_TBB_support)
|
||||
|
||||
# VisualC++ optimization for applications dealing with large data
|
||||
if(MSVC)
|
||||
|
|
@ -23,13 +25,13 @@ include(CGAL_Eigen3_support)
|
|||
if(TARGET CGAL::Eigen3_support)
|
||||
# Executables that require Eigen 3.1
|
||||
create_single_source_cgal_program("poisson_reconstruction_test_surface_mesher.cpp")
|
||||
target_link_libraries(poisson_reconstruction_test_surface_mesher PRIVATE CGAL::Eigen3_support)
|
||||
target_link_libraries(poisson_reconstruction_test_surface_mesher PRIVATE CGAL::Eigen3_support CGAL::TBB_support)
|
||||
|
||||
create_single_source_cgal_program("poisson_reconstruction_test_mesh_3.cpp")
|
||||
target_link_libraries(poisson_reconstruction_test_mesh_3 PRIVATE CGAL::Eigen3_support)
|
||||
target_link_libraries(poisson_reconstruction_test_mesh_3 PRIVATE CGAL::Eigen3_support CGAL::TBB_support)
|
||||
|
||||
create_single_source_cgal_program("compare_mesh_3_vs_Poisson_implicit_surface_3.cpp")
|
||||
target_link_libraries(compare_mesh_3_vs_Poisson_implicit_surface_3 PRIVATE CGAL::Eigen3_support)
|
||||
target_link_libraries(compare_mesh_3_vs_Poisson_implicit_surface_3 PRIVATE CGAL::Eigen3_support CGAL::TBB_support)
|
||||
|
||||
else()
|
||||
message("NOTICE: Tests in this directory require Eigen 3.1 (or greater), and will not be compiled.")
|
||||
|
|
|
|||
Loading…
Reference in New Issue