This commit is contained in:
Daniel Girardeau-Montaut
2015-07-24 19:13:55 +02:00
parent 2e9c3fc6fa
commit eeb865f15e
5 changed files with 473 additions and 2 deletions
+34
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@@ -0,0 +1,34 @@
cmake_minimum_required(VERSION 2.8)
include_directories( ${CMAKE_CURRENT_SOURCE_DIR} )
project( QPOISSON_RECON_LIB )
#to remove very annoying "NO ARGUMENTS THAT DEPEND ON A TEMPLATE PARAMETER" errors with G++!
if( UNIX OR MINGW )
SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fpermissive -w")
endif()
set( SAMPLE_PROJECT_VERSION_MAJOR 6 )
set( SAMPLE_PROJECT_VERSION_MINOR 13a )
file( GLOB header_list Src_CC_wrap/*.h )
list (APPEND header_list Src/Allocator.h Src/Array.h Src/BinaryNode.h Src/BSplineData.h Src/CmdLineParser.h Src/Factor.h Src/FunctionData.h Src/Geometry.h Src/Hash.h Src/MarchingCubes.h Src/MAT.h Src/MemoryUsage.h Src/MultiGridOctreeData.h Src/Octree.h Src/Ply.h Src/PointStream.h Src/Polynomial.h Src/PPolynomial.h Src/SparseMatrix.h Src/Vector.h )
list (APPEND header_list Src/Array.inl Src/BSplineData.inl Src/CmdLineParser.inl Src/FunctionData.inl Src/Geometry.inl Src/MAT.inl Src/MultiGridOctreeData.inl Src/MultiGridOctreeData.IsoSurface.inl Src/MultiGridOctreeData.SortedTreeNodes.inl Src/Octree.inl Src/PointStream.inl Src/Polynomial.inl Src/PPolynomial.inl Src/SparseMatrix.inl Src/Vector.inl )
file( GLOB source_list Src_CC_wrap/*.cpp )
list (APPEND source_list Src/CmdLineParser.cpp Src/Factor.cpp Src/Geometry.cpp Src/MarchingCubes.cpp Src/PlyFile.cpp )
add_library( ${PROJECT_NAME} STATIC ${header_list} ${inline_list} ${source_list} )
# Add prepocessor definitions
set_property( TARGET ${PROJECT_NAME} APPEND PROPERTY COMPILE_DEFINITIONS _CRT_SECURE_NO_DEPRECATE _CRT_SECURE_NO_WARNINGS NOMINMAX )
option( POISSON_RECON_WITH_OPEN_MP "Check to compile PoissonRecon plugin with OpenMP support" OFF )
if ( POISSON_RECON_WITH_OPEN_MP )
find_package(OpenMP)
if (OPENMP_FOUND)
set (CMAKE_C_FLAGS "${CMAKE_C_FLAGS} ${OpenMP_C_FLAGS}")
set (CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${OpenMP_CXX_FLAGS}")
set_property( TARGET ${PROJECT_NAME} APPEND PROPERTY COMPILE_DEFINITIONS WITH_OPENMP )
endif()
endif ()
+1
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@@ -322,6 +322,7 @@ class CoredVectorMeshData : public CoredMeshData< Vertex >
std::vector< std::vector< int > > polygons;
int polygonIndex;
int oocPointIndex;
void* writelock;
public:
CoredVectorMeshData(void);
+9 -2
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@@ -27,6 +27,7 @@ DAMAGE.
*/
#include <stdio.h>
#include <omp.h>
template<class Real>
Real Random(void){return Real(rand())/RAND_MAX;}
@@ -426,7 +427,11 @@ int Triangulation<Real>::flipMinimize(int eIndex){
// CoredVectorMeshData //
/////////////////////////
template< class Vertex >
CoredVectorMeshData< Vertex >::CoredVectorMeshData( void ) { oocPointIndex = polygonIndex = 0; }
CoredVectorMeshData< Vertex >::CoredVectorMeshData( void ) : writelock(0)
{
oocPointIndex = polygonIndex = 0;
omp_init_lock(&writelock);
}
template< class Vertex >
void CoredVectorMeshData< Vertex >::resetIterator ( void ) { oocPointIndex = polygonIndex = 0; }
template< class Vertex >
@@ -450,11 +455,13 @@ template< class Vertex >
int CoredVectorMeshData< Vertex >::addPolygon_s( const std::vector< int >& polygon )
{
size_t sz;
#pragma omp critical (CoredVectorMeshData_addPolygon_s)
//#pragma omp critical (CoredVectorMeshData_addPolygon_s)
omp_set_lock(reinterpret_cast<omp_lock_t*>(&writelock));
{
sz = polygon.size();
polygons.push_back( polygon );
}
omp_unset_lock(reinterpret_cast<omp_lock_t*>(&writelock));
return (int)sz;
}
template< class Vertex >
+311
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@@ -0,0 +1,311 @@
//##########################################################################
//# #
//# CLOUDCOMPARE WRAPPER: PoissonReconLib #
//# #
//# This program is free software; you can redistribute it and/or modify #
//# it under the terms of the GNU General Public License as published by #
//# the Free Software Foundation; version 2 of the License. #
//# #
//# This program is distributed in the hope that it will be useful, #
//# but WITHOUT ANY WARRANTY; without even the implied warranty of #
//# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the #
//# GNU General Public License for more details. #
//# #
//# COPYRIGHT: Daniel Girardeau-Montaut #
//# #
//##########################################################################
#include "PoissonReconLib.h"
#ifdef _WIN32
#include <Windows.h>
#include <Psapi.h>
#endif // _WIN32
#ifdef WITH_OPENMP
#include <omp.h>
#endif
//PoissonRecon
#include "../Src/Ply.h"
#include "../Src/Array.h"
#include "../Src/Octree.h"
#include "../Src/SparseMatrix.h"
#define DumpOutput(...) ((void)0)
#include "../Src/MultiGridOctreeData.h" //only after DumpOutput has been defined!
PoissonReconLib::Parameters::Parameters()
: depth(8) //8
, cgDepth(0) //0
, kernelDepth(0) //?
, adaptiveExp(1) //AdaptiveExponent (1)
, iters(8) //8
, fullDepth(5) //5
, minDepth(0) //0
, maxSolveDepth(0) //?
, boundary(1) //1
, threads(1) //ideally omp_get_num_procs()
, samplesPerNode(1.0f) //1.0f
, scale(1.1f) //1.1f
, cgAccuracy(1.0e-3f) //1.0e-3f
, pointWeight(4.0f) //4.0f
, complete(false)
, showResidual(false)
, confidence(false)
, normalWeights(false)
, nonManifold(false)
, density(false)
, colorInterp(16.0f)
{
#ifdef WITH_OPENMP
threads = omp_get_num_procs();
#endif
}
template< class PointCoordinateType, class Real, class Vertex >
bool Execute(PoissonReconLib::Parameters params, OrientedPointStream< PointCoordinateType >* pointStream, CoredVectorMeshData< Vertex >& mesh)
{
XForm4x4< Real > xForm = XForm4x4< Real >::Identity();
XForm4x4< Real > iXForm = xForm.inverse();
//DGM: reset static parameters!!!
TreeNodeData::NodeCount = 0;
Octree< Real > tree;
tree.threads = params.threads;
if (params.maxSolveDepth == 0)
params.maxSolveDepth = params.depth;
OctNode< TreeNodeData >::SetAllocator( MEMORY_ALLOCATOR_BLOCK_SIZE );
if (params.maxSolveDepth < 2)
return false;
int kernelDepth = params.kernelDepth != 0 ? params.kernelDepth : params.maxSolveDepth-2;
if( kernelDepth > params.depth )
return false;
params.fullDepth = std::min(params.fullDepth, params.depth);
tree.maxMemoryUsage = 0;
typename Octree< Real >::template SparseNodeData< typename Octree< Real >::PointData >* pointInfo = new typename Octree< Real >::template SparseNodeData< typename Octree< Real >::PointData >();
typename Octree< Real >::template SparseNodeData< Point3D< Real > >* normalInfo = new typename Octree< Real >::template SparseNodeData< Point3D< Real > >();
std::vector< Real >* kernelDensityWeights = new std::vector< Real >();
std::vector< Real >* centerWeights = new std::vector< Real >();
typedef typename Octree< Real >::template ProjectiveData< Point3D< Real > > ProjectiveColor;
int pointCount = tree.template SetTree< PointCoordinateType >(
pointStream,
params.minDepth,
params.depth,
params.fullDepth,
kernelDepth,
static_cast<Real>(params.samplesPerNode),
params.scale,
params.confidence,
params.normalWeights,
params.pointWeight,
params.adaptiveExp,
*kernelDensityWeights,
*pointInfo,
*normalInfo,
*centerWeights,
xForm,
params.boundary,
params.complete );
if( !params.density )
{
delete kernelDensityWeights;
kernelDensityWeights = NULL;
}
//DumpOutput( "Input Points: %d\n" , pointCount );
//DumpOutput( "Leaves/Nodes: %d/%d\n" , tree.tree.leaves() , tree.tree.nodes() );
double maxMemoryUsage = tree.maxMemoryUsage;
tree.maxMemoryUsage = 0;
Pointer( Real ) constraints = tree.SetLaplacianConstraints( *normalInfo );
delete normalInfo;
normalInfo = 0;
maxMemoryUsage = std::max< double >( maxMemoryUsage , tree.maxMemoryUsage );
tree.maxMemoryUsage = 0;
Pointer( Real ) solution = tree.SolveSystem( *pointInfo , constraints , params.showResidual , params.iters, params.maxSolveDepth, params.cgDepth, params.cgAccuracy );
delete pointInfo;
pointInfo = 0;
FreePointer( constraints );
maxMemoryUsage = std::max< double >( maxMemoryUsage , tree.maxMemoryUsage );
Real isoValue = tree.GetIsoValue( solution , *centerWeights );
delete centerWeights;
centerWeights = 0;
//DumpOutput( "Iso-Value: %e\n" , isoValue );
//output
tree.maxMemoryUsage = 0;
tree.GetMCIsoSurface( kernelDensityWeights ? GetPointer( *kernelDensityWeights ) : NullPointer( Real ),
NULL,
solution,
isoValue,
mesh,
true,
!params.nonManifold,
false );
maxMemoryUsage = std::max< double >( maxMemoryUsage , tree.maxMemoryUsage );
//DumpOutput( "Vertices / Polygons: %d / %d\n" , mesh.outOfCorePointCount()+mesh.inCorePoints.size() , mesh.polygonCount() );
FreePointer( solution );
return true;
}
template< class PointCoordinateType, class Real, class Vertex >
bool Execute(PoissonReconLib::Parameters params, OrientedPointStreamWithData< PointCoordinateType , Point3D< unsigned char > >* pointStream, CoredVectorMeshData< Vertex >& mesh)
{
XForm4x4< Real > xForm = XForm4x4< Real >::Identity();
XForm4x4< Real > iXForm = xForm.inverse();
//DGM: reset static parameters!!!
TreeNodeData::NodeCount = 0;
Octree< Real > tree;
tree.threads = params.threads;
if (params.maxSolveDepth == 0)
params.maxSolveDepth = params.depth;
OctNode< TreeNodeData >::SetAllocator( MEMORY_ALLOCATOR_BLOCK_SIZE );
if (params.maxSolveDepth < 2)
return false;
int kernelDepth = params.kernelDepth != 0 ? params.kernelDepth : params.maxSolveDepth-2;
if( kernelDepth > params.depth )
return false;
params.fullDepth = std::min(params.fullDepth, params.depth);
tree.maxMemoryUsage = 0;
typename Octree< Real >::template SparseNodeData< typename Octree< Real >::PointData >* pointInfo = new typename Octree< Real >::template SparseNodeData< typename Octree< Real >::PointData >();
typename Octree< Real >::template SparseNodeData< Point3D< Real > >* normalInfo = new typename Octree< Real >::template SparseNodeData< Point3D< Real > >();
std::vector< Real >* kernelDensityWeights = new std::vector< Real >();
std::vector< Real >* centerWeights = new std::vector< Real >();
typedef typename Octree< Real >::template ProjectiveData< Point3D< Real > > ProjectiveColor;
typename Octree< Real >::template SparseNodeData< ProjectiveColor > colorData;
int pointCount = tree.template SetTree< PointCoordinateType >(
pointStream,
params.minDepth,
params.depth,
params.fullDepth,
kernelDepth,
static_cast<Real>(params.samplesPerNode),
params.scale,
params.confidence,
params.normalWeights,
params.pointWeight,
params.adaptiveExp,
*kernelDensityWeights,
*pointInfo,
*normalInfo,
*centerWeights,
colorData,
xForm,
params.boundary,
params.complete );
for (const OctNode< TreeNodeData >* n = tree.tree.nextNode(); n != NULL; n = tree.tree.nextNode(n))
{
int idx = colorData.index(n);
if (idx >= 0)
colorData.data[idx] *= static_cast<Real>(pow(params.colorInterp, n->depth()));
}
if( !params.density )
{
delete kernelDensityWeights;
kernelDensityWeights = NULL;
}
//DumpOutput( "Input Points: %d\n" , pointCount );
//DumpOutput( "Leaves/Nodes: %d/%d\n" , tree.tree.leaves() , tree.tree.nodes() );
double maxMemoryUsage = tree.maxMemoryUsage;
tree.maxMemoryUsage = 0;
Pointer( Real ) constraints = tree.SetLaplacianConstraints( *normalInfo );
delete normalInfo;
normalInfo = 0;
maxMemoryUsage = std::max< double >( maxMemoryUsage , tree.maxMemoryUsage );
tree.maxMemoryUsage = 0;
Pointer( Real ) solution = tree.SolveSystem( *pointInfo , constraints , params.showResidual , params.iters, params.maxSolveDepth, params.cgDepth, params.cgAccuracy );
delete pointInfo;
pointInfo = 0;
FreePointer( constraints );
maxMemoryUsage = std::max< double >( maxMemoryUsage , tree.maxMemoryUsage );
Real isoValue = tree.GetIsoValue( solution , *centerWeights );
delete centerWeights;
centerWeights = 0;
//DumpOutput( "Iso-Value: %e\n" , isoValue );
//output
tree.maxMemoryUsage = 0;
tree.GetMCIsoSurface( kernelDensityWeights ? GetPointer( *kernelDensityWeights ) : NullPointer( Real ),
&colorData,
solution,
isoValue,
mesh,
true,
!params.nonManifold,
false );
maxMemoryUsage = std::max< double >( maxMemoryUsage , tree.maxMemoryUsage );
//DumpOutput( "Vertices / Polygons: %d / %d\n" , mesh.outOfCorePointCount()+mesh.inCorePoints.size() , mesh.polygonCount() );
FreePointer( solution );
return true;
}
bool PoissonReconLib::Reconstruct(Parameters params, OrientedPointStreamWithData< float , Point3D< unsigned char > >* pointStream, CoredVectorMeshData< PlyColorAndValueVertex< float > >& mesh)
{
return Execute< float,
float,
PlyColorAndValueVertex< float > > (params, pointStream, mesh);
}
bool PoissonReconLib::Reconstruct(Parameters params, OrientedPointStream< float >* pointStream, CoredVectorMeshData< PlyValueVertex< float > >& mesh)
{
return Execute< float,
float,
PlyValueVertex< float > > (params, pointStream, mesh);
}
bool PoissonReconLib::Reconstruct(Parameters params, OrientedPointStreamWithData< double , Point3D< unsigned char > >* pointStream, CoredVectorMeshData< PlyColorAndValueVertex< double > >& mesh)
{
return Execute< double,
double,
PlyColorAndValueVertex< double > > (params, pointStream, mesh);
}
bool PoissonReconLib::Reconstruct(Parameters params, OrientedPointStream< double >* pointStream, CoredVectorMeshData< PlyValueVertex< double > >& mesh)
{
return Execute< double,
double,
PlyValueVertex< double > > (params, pointStream, mesh);
}
+118
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@@ -0,0 +1,118 @@
//##########################################################################
//# #
//# CLOUDCOMPARE WRAPPER: PoissonReconLib #
//# #
//# This program is free software; you can redistribute it and/or modify #
//# it under the terms of the GNU General Public License as published by #
//# the Free Software Foundation; version 2 of the License. #
//# #
//# This program is distributed in the hope that it will be useful, #
//# but WITHOUT ANY WARRANTY; without even the implied warranty of #
//# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the #
//# GNU General Public License for more details. #
//# #
//# COPYRIGHT: Daniel Girardeau-Montaut #
//# #
//##########################################################################
#ifndef CC_POISSON_RECON_LIB_6_11_WRAPPER
#define CC_POISSON_RECON_LIB_6_11_WRAPPER
#include "../Src/Ply.h"
#include "../Src/Geometry.h"
#include "../Src/PointStream.h"
//! Wrapper to use PoissonRecon (Kazhdan et. al) as a library
class PoissonReconLib
{
public:
//! Algorithm parameters
struct Parameters
{
//! Default initializer
Parameters();
//! The maximum depth of the tree that will be used for surface reconstruction
/** Running at depth d corresponds to solving on a 2^d x 2^d x 2^d.
Note that since the reconstructor adapts the octree to the sampling density,
the specified reconstruction depth is only an upper bound.
**/
int depth;
//! The depth beyond which the octree will be adapted.
/** At coarser depths, the octree will be complete, containing all 2^d x 2^d x 2^d nodes.
**/
int fullDepth;
//! The depth up to which a conjugate-gradients solver will be used to solve the linear system.
/** Beyond this depth Gauss-Seidel relaxation will be used.
**/
int cgDepth;
//! The ratio between the diameter of the cube used for reconstruction and the diameter of the samples' bounding cube.
/** Specifies the factor of the bounding cube that the input samples should fit into.
**/
float scale;
//! The minimum number of sample points that should fall within an octree node as the octree construction is adapted to sampling density.
/** This parameter specifies the minimum number of points that should fall within an octree node.
For noise-free samples, small values in the range [1.0 - 5.0] can be used. For more noisy samples, larger values
in the range [15.0 - 20.0] may be needed to provide a smoother, noise-reduced, reconstruction.
**/
float samplesPerNode;
//! The importance that interpolation of the point samples is given in the formulation of the screened Poisson equation.
/** The results of the original (unscreened) Poisson Reconstruction can be obtained by setting this value to 0.
**/
float pointWeight;
//! The (maximum if CG) number of solver iterations
int iters;
//! This parameter specifies the number of threads across which the solver should be parallelized
int threads;
//! 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
bool confidence;
//! If this flag is enabled, the size of a sample's normals is used as to modulate the interpolation weight
bool normalWeights;
//! If this flag is enabled, the sampling density is written out with the vertices
bool density;
//! Pull factor for color interpolation
float colorInterp;
//DGM: the above parameters are not documented in PoissonRecon
bool complete;
bool showResidual;
int kernelDepth;
int maxSolveDepth;
int boundary;
//DGM: the above parameters are hidden in PoissonRecon
//! 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
bool nonManifold;
//! This flag specifies the coarsest depth at which the system is to be solved
int minDepth;
//! This flag specifies the accuracy cut-off to be used for CG
float cgAccuracy;
//! This flag specifies the exponent scale for the adaptive weighting
int adaptiveExp;
};
//! Main entry point (shortcut to Execute)
static bool Reconstruct(Parameters params, OrientedPointStream< float >* pointStream, CoredVectorMeshData< PlyValueVertex< float > >& mesh);
//! Main entry point (shortcut to Execute) for colored clouds
static bool Reconstruct(Parameters params, OrientedPointStreamWithData< float , Point3D< unsigned char > >* pointStream, CoredVectorMeshData< PlyColorAndValueVertex< float > >& mesh);
//! Main entry point (shortcut to Execute)
static bool Reconstruct(Parameters params, OrientedPointStream< double >* pointStream, CoredVectorMeshData< PlyValueVertex< double > >& mesh);
//! Main entry point (shortcut to Execute) for colored clouds
static bool Reconstruct(Parameters params, OrientedPointStreamWithData< double , Point3D< unsigned char > >* pointStream, CoredVectorMeshData< PlyColorAndValueVertex< double > >& mesh);
};
#endif // CC_POISSON_RECON_LIB_6_11_WRAPPER