mirror of
https://github.com/CloudCompare/PoissonRecon.git
synced 2026-08-30 00:50:28 +08:00
Daniel Girardeau-Montaut
14e696f9e3
+ B-spline degree defaulted to 2 for now + compilation with VS2012 and older
119 lines
5.4 KiB
C++
119 lines
5.4 KiB
C++
//##########################################################################
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//# #
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//# CLOUDCOMPARE WRAPPER: PoissonReconLib #
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//# #
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//# This program is free software; you can redistribute it and/or modify #
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//# it under the terms of the GNU General Public License as published by #
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//# the Free Software Foundation; version 2 of the License. #
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//# #
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//# This program is distributed in the hope that it will be useful, #
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//# but WITHOUT ANY WARRANTY; without even the implied warranty of #
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//# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the #
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//# GNU General Public License for more details. #
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//# #
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//# COPYRIGHT: Daniel Girardeau-Montaut #
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//# #
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//##########################################################################
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#ifndef CC_POISSON_RECON_LIB_WRAPPER
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#define CC_POISSON_RECON_LIB_WRAPPER
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#include "../Src/Ply.h"
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#include "../Src/Geometry.h"
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#include "../Src/PointStream.h"
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//! Wrapper to use PoissonRecon (Kazhdan et. al) as a library
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class PoissonReconLib
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{
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public:
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//! Algorithm parameters
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struct Parameters
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{
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//! Default initializer
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Parameters();
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//! The maximum depth of the tree that will be used for surface reconstruction
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/** Running at depth d corresponds to solving on a 2^d x 2^d x 2^d.
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Note that since the reconstructor adapts the octree to the sampling density,
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the specified reconstruction depth is only an upper bound.
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**/
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int depth;
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//! The depth beyond which the octree will be adapted.
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/** At coarser depths, the octree will be complete, containing all 2^d x 2^d x 2^d nodes.
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**/
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int fullDepth;
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//! The depth up to which a conjugate-gradients solver will be used to solve the linear system.
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/** Beyond this depth Gauss-Seidel relaxation will be used.
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**/
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int cgDepth;
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//! The ratio between the diameter of the cube used for reconstruction and the diameter of the samples' bounding cube.
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/** Specifies the factor of the bounding cube that the input samples should fit into.
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**/
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float scale;
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//! The minimum number of sample points that should fall within an octree node as the octree construction is adapted to sampling density.
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/** This parameter specifies the minimum number of points that should fall within an octree node.
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For noise-free samples, small values in the range [1.0 - 5.0] can be used. For more noisy samples, larger values
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in the range [15.0 - 20.0] may be needed to provide a smoother, noise-reduced, reconstruction.
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**/
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float samplesPerNode;
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//! The importance that interpolation of the point samples is given in the formulation of the screened Poisson equation.
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/** The results of the original (unscreened) Poisson Reconstruction can be obtained by setting this value to 0.
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**/
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float pointWeight;
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//! The (maximum if CG) number of solver iterations
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int iters;
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//! This parameter specifies the number of threads across which the solver should be parallelized
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int threads;
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//! If this flag is enabled, the size of a sample's normals is used as a confidence value, affecting the sample's constribution to the reconstruction process
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bool confidence;
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//! If this flag is enabled, the size of a sample's normals is used as to modulate the interpolation weight
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bool normalWeights;
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//! If this flag is enabled, the sampling density is written out with the vertices
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bool density;
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//! Pull factor for color interpolation
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float colorInterp;
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//DGM: the above parameters are not documented in PoissonRecon
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bool complete;
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bool showResidual;
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int kernelDepth;
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int maxSolveDepth;
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bool dirichlet;
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//DGM: the above parameters are hidden in PoissonRecon
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//! If this flag is enabled, the isosurface extraction does not add a planar polygon's barycenter in order to ensure that the output mesh is manifold
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bool nonManifold;
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//! This flag specifies the coarsest depth at which the system is to be solved
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int minDepth;
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//! This flag specifies the accuracy cut-off to be used for CG
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float cgAccuracy;
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//! This flag specifies the exponent scale for the adaptive weighting
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int adaptiveExp;
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};
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//! Main entry point (shortcut to Execute)
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static bool Reconstruct(Parameters params, OrientedPointStream< float >* pointStream, CoredVectorMeshData< PlyValueVertex< float > >& mesh);
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//! Main entry point (shortcut to Execute) for colored clouds
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static bool Reconstruct(Parameters params, OrientedPointStreamWithData< float , Point3D< unsigned char > >* pointStream, CoredVectorMeshData< PlyColorAndValueVertex< float > >& mesh);
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//! Main entry point (shortcut to Execute)
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static bool Reconstruct(Parameters params, OrientedPointStream< double >* pointStream, CoredVectorMeshData< PlyValueVertex< double > >& mesh);
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//! Main entry point (shortcut to Execute) for colored clouds
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static bool Reconstruct(Parameters params, OrientedPointStreamWithData< double , Point3D< unsigned char > >* pointStream, CoredVectorMeshData< PlyColorAndValueVertex< double > >& mesh);
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};
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#endif // CC_POISSON_RECON_LIB_6_11_WRAPPER
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