Moved ExportCloudsDialog::mergeTextures() method in util3d_surface module

This commit is contained in:
matlabbe
2017-06-13 19:20:09 -04:00
parent 29a48aba66
commit 811afa1171
9 changed files with 1308 additions and 1058 deletions

View File

@@ -8,6 +8,9 @@
#ifndef CORELIB_INCLUDE_RTABMAP_CORE_IMPL_UTIL3D_SURFACE_HPP_
#define CORELIB_INCLUDE_RTABMAP_CORE_IMPL_UTIL3D_SURFACE_HPP_
#include <pcl/search/kdtree.h>
#include <rtabmap/utilite/UConversion.h>
namespace rtabmap {
namespace util3d {
@@ -42,6 +45,239 @@ std::vector<pcl::Vertices> normalizePolygonsSide(
return output;
}
template<typename pointRGBT>
void denseMeshPostProcessing(
pcl::PolygonMeshPtr & mesh,
bool hasColors,
float meshDecimationFactor,
int maximumPolygons,
const typename pcl::PointCloud<pointRGBT>::Ptr & cloud,
float transferColorRadius,
bool coloredOutput,
bool cleanMesh,
int minClusterSize,
ProgressState * progressState)
{
if(maximumPolygons > 0)
{
double factor = 1.0-double(maximumPolygons)/double(mesh->polygons.size());
if(factor > meshDecimationFactor)
{
meshDecimationFactor = factor;
}
}
if(meshDecimationFactor > 0.0)
{
unsigned int count = mesh->polygons.size();
if(progressState) progressState->callback(uFormat("Mesh decimation (factor=%f) from %d polygons...",meshDecimationFactor, (int)count));
mesh = util3d::meshDecimation(mesh, (float)meshDecimationFactor);
if(progressState) progressState->callback(uFormat("Mesh decimated (factor=%f) from %d to %d polygons", meshDecimationFactor, (int)count, (int)mesh->polygons.size()));
if(count < mesh->polygons.size())
{
if(progressState) progressState->callback(uFormat("Decimated mesh has more polygons than before!"));
}
hasColors = false;
}
if(cloud.get()!=0 &&
!hasColors &&
transferColorRadius >= 0.0 &&
coloredOutput)
{
if(progressState) progressState->callback(uFormat("Transferring color from point cloud to mesh..."));
// transfer color from point cloud to mesh
typename pcl::search::KdTree<pointRGBT>::Ptr tree (new pcl::search::KdTree<pointRGBT>(true));
tree->setInputCloud(cloud);
pcl::PointCloud<pcl::PointXYZRGB>::Ptr coloredCloud(new pcl::PointCloud<pcl::PointXYZRGB>);
pcl::fromPCLPointCloud2(mesh->cloud, *coloredCloud);
std::vector<bool> coloredPts(coloredCloud->size());
for(unsigned int i=0; i<coloredCloud->size(); ++i)
{
std::vector<int> kIndices;
std::vector<float> kDistances;
pointRGBT pt;
pt.x = coloredCloud->at(i).x;
pt.y = coloredCloud->at(i).y;
pt.z = coloredCloud->at(i).z;
if(transferColorRadius > 0.0)
{
tree->radiusSearch(pt, transferColorRadius, kIndices, kDistances);
}
else
{
tree->nearestKSearch(pt, 1, kIndices, kDistances);
}
if(kIndices.size())
{
//compute average color
int r=0;
int g=0;
int b=0;
int a=0;
for(unsigned int j=0; j<kIndices.size(); ++j)
{
r+=(int)cloud->at(kIndices[j]).r;
g+=(int)cloud->at(kIndices[j]).g;
b+=(int)cloud->at(kIndices[j]).b;
a+=(int)cloud->at(kIndices[j]).a;
}
coloredCloud->at(i).r = r/kIndices.size();
coloredCloud->at(i).g = g/kIndices.size();
coloredCloud->at(i).b = b/kIndices.size();
coloredCloud->at(i).a = a/kIndices.size();
coloredPts.at(i) = true;
}
else
{
//white
coloredCloud->at(i).r = coloredCloud->at(i).g = coloredCloud->at(i).b = 255;
coloredPts.at(i) = false;
}
}
pcl::toPCLPointCloud2(*coloredCloud, mesh->cloud);
// remove polygons with no color
if(cleanMesh)
{
std::vector<pcl::Vertices> filteredPolygons(mesh->polygons.size());
int oi=0;
for(unsigned int i=0; i<mesh->polygons.size(); ++i)
{
bool coloredPolygon = true;
for(unsigned int j=0; j<mesh->polygons[i].vertices.size(); ++j)
{
if(!coloredPts.at(mesh->polygons[i].vertices[j]))
{
coloredPolygon = false;
break;
}
}
if(coloredPolygon)
{
filteredPolygons[oi++] = mesh->polygons[i];
}
}
filteredPolygons.resize(oi);
mesh->polygons = filteredPolygons;
}
}
else if(cloud.get()!=0 &&
!hasColors &&
transferColorRadius > 0.0 &&
cleanMesh &&
!coloredOutput)
{
if(progressState) progressState->callback(uFormat("Removing polygons too far from the cloud..."));
// transfer color from point cloud to mesh
typename pcl::search::KdTree<pointRGBT>::Ptr tree (new pcl::search::KdTree<pointRGBT>(true));
tree->setInputCloud(cloud);
pcl::PointCloud<pcl::PointXYZ>::Ptr optimizedCloud(new pcl::PointCloud<pcl::PointXYZ>);
pcl::fromPCLPointCloud2(mesh->cloud, *optimizedCloud);
std::vector<bool> closePts(optimizedCloud->size());
for(unsigned int i=0; i<optimizedCloud->size(); ++i)
{
std::vector<int> kIndices;
std::vector<float> kDistances;
pointRGBT pt;
pt.x = optimizedCloud->at(i).x;
pt.y = optimizedCloud->at(i).y;
pt.z = optimizedCloud->at(i).z;
tree->radiusSearch(pt, transferColorRadius, kIndices, kDistances);
if(kIndices.size())
{
closePts.at(i) = true;
}
else
{
closePts.at(i) = false;
}
}
// remove far polygons
std::vector<pcl::Vertices> filteredPolygons(mesh->polygons.size());
int oi=0;
for(unsigned int i=0; i<mesh->polygons.size(); ++i)
{
bool keepPolygon = true;
for(unsigned int j=0; j<mesh->polygons[i].vertices.size(); ++j)
{
if(!closePts.at(mesh->polygons[i].vertices[j]))
{
keepPolygon = false;
break;
}
}
if(keepPolygon)
{
filteredPolygons[oi++] = mesh->polygons[i];
}
}
filteredPolygons.resize(oi);
mesh->polygons = filteredPolygons;
}
if(minClusterSize && coloredOutput && !cleanMesh)
{
if(progressState) progressState->callback(uFormat("Filter small polygon clusters..."));
// filter polygons
std::vector<std::set<int> > neighbors;
std::vector<std::set<int> > vertexToPolygons;
util3d::createPolygonIndexes(mesh->polygons,
mesh->cloud.height*mesh->cloud.width,
neighbors,
vertexToPolygons);
std::list<std::list<int> > clusters = util3d::clusterPolygons(
neighbors,
minClusterSize<0?0:minClusterSize);
std::vector<pcl::Vertices> filteredPolygons(mesh->polygons.size());
if(minClusterSize < 0)
{
// only keep the biggest cluster
std::list<std::list<int> >::iterator biggestClusterIndex = clusters.end();
unsigned int biggestClusterSize = 0;
for(std::list<std::list<int> >::iterator iter=clusters.begin(); iter!=clusters.end(); ++iter)
{
if(iter->size() > biggestClusterSize)
{
biggestClusterIndex = iter;
biggestClusterSize = iter->size();
}
}
if(biggestClusterIndex != clusters.end())
{
int oi=0;
for(std::list<int>::iterator jter=biggestClusterIndex->begin(); jter!=biggestClusterIndex->end(); ++jter)
{
filteredPolygons[oi++] = mesh->polygons.at(*jter);
}
filteredPolygons.resize(oi);
}
}
else
{
int oi=0;
for(std::list<std::list<int> >::iterator iter=clusters.begin(); iter!=clusters.end(); ++iter)
{
for(std::list<int>::iterator jter=iter->begin(); jter!=iter->end(); ++jter)
{
filteredPolygons[oi++] = mesh->polygons.at(*jter);
}
}
filteredPolygons.resize(oi);
}
int before = (int)mesh->polygons.size();
mesh->polygons = filteredPolygons;
if(progressState) progressState->callback(uFormat("Filtered %1 polygons.", before-(int)mesh->polygons.size()));
}
}
}
}