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Eigen with std::vector fixes #1034

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Dec 14, 2014
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Original file line number Diff line number Diff line change
Expand Up @@ -43,7 +43,7 @@ namespace pcl
void
estimate (PointInTPtr & in, PointInTPtr & processed,
std::vector<pcl::PointCloud<FeatureT>, Eigen::aligned_allocator<pcl::PointCloud<FeatureT> > > & signatures,
std::vector<Eigen::Vector3f> & centroids)
std::vector<Eigen::Vector3f, Eigen::aligned_allocator<Eigen::Vector3f> > & centroids)
{

if (!feature_estimator_)
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -53,7 +53,7 @@ namespace pcl
void
estimate (PointInTPtr & in, PointInTPtr & processed,
typename pcl::PointCloud<FeatureT>::CloudVectorType & signatures,
std::vector<Eigen::Vector3f> & centroids)
std::vector<Eigen::Vector3f, Eigen::aligned_allocator<Eigen::Vector3f> > & centroids)
{

if (!normal_estimator_)
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Original file line number Diff line number Diff line change
Expand Up @@ -25,7 +25,7 @@ namespace pcl
void
estimate (PointInTPtr & in, PointInTPtr & processed,
typename pcl::PointCloud<FeatureT>::CloudVectorType & signatures,
std::vector<Eigen::Vector3f> & centroids)
std::vector<Eigen::Vector3f, Eigen::aligned_allocator<Eigen::Vector3f> > & centroids)
{

typedef typename pcl::ESFEstimation<PointInT, FeatureT> ESFEstimation;
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Original file line number Diff line number Diff line change
Expand Up @@ -28,7 +28,7 @@ namespace pcl
public:
virtual void
estimate (PointInTPtr & in, PointInTPtr & processed, std::vector<pcl::PointCloud<FeatureT>, Eigen::aligned_allocator<
pcl::PointCloud<FeatureT> > > & signatures, std::vector<Eigen::Vector3f> & centroids)=0;
pcl::PointCloud<FeatureT> > > & signatures, std::vector<Eigen::Vector3f, Eigen::aligned_allocator<Eigen::Vector3f> > & centroids)=0;

virtual bool computedNormals() = 0;

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Original file line number Diff line number Diff line change
Expand Up @@ -81,7 +81,7 @@ namespace pcl

virtual void
estimate (PointInTPtr & in, PointInTPtr & processed, typename pcl::PointCloud<FeatureT>::CloudVectorType & signatures,
std::vector<Eigen::Vector3f> & centroids)
std::vector<Eigen::Vector3f, Eigen::aligned_allocator<Eigen::Vector3f> > & centroids)
{

valid_roll_transforms_.clear ();
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Original file line number Diff line number Diff line change
Expand Up @@ -28,7 +28,7 @@ namespace pcl
void
estimate (PointInTPtr & in, PointInTPtr & processed,
typename pcl::PointCloud<FeatureT>::CloudVectorType & signatures,
std::vector<Eigen::Vector3f> & centroids)
std::vector<Eigen::Vector3f, Eigen::aligned_allocator<Eigen::Vector3f> > & centroids)
{

if (!normal_estimator_)
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Original file line number Diff line number Diff line change
Expand Up @@ -100,7 +100,7 @@ namespace pcl
}

void
assembleModelFromViewsAndPoses(ModelT & model, std::vector<Eigen::Matrix4f> & poses) {
assembleModelFromViewsAndPoses(ModelT & model, std::vector<Eigen::Matrix4f, Eigen::aligned_allocator<Eigen::Matrix4f> > & poses) {
for(size_t i=0; i < model.views_->size(); i++) {
Eigen::Matrix4f inv = poses[i];
typename pcl::PointCloud<PointInT>::Ptr global_cloud(new pcl::PointCloud<PointInT>);
Expand Down Expand Up @@ -159,7 +159,7 @@ namespace pcl
}
}

std::vector<Eigen::Matrix4f> poses_to_assemble_;
std::vector<Eigen::Matrix4f, Eigen::aligned_allocator<Eigen::Matrix4f> > poses_to_assemble_;

for (size_t i = 0; i < view_filenames.size (); i++)
{
Expand Down
2 changes: 1 addition & 1 deletion apps/src/render_views_tesselated_sphere.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -121,7 +121,7 @@ pcl::apps::RenderViewsTesselatedSphere::generateViews() {
// Get camera positions
vtkPolyData *sphere = subdivide->GetOutput ();

std::vector<Eigen::Vector3f> cam_positions;
std::vector<Eigen::Vector3f, Eigen::aligned_allocator<Eigen::Vector3f> > cam_positions;
if (!use_vertices_)
{
vtkSmartPointer<vtkCellArray> cells_sphere = sphere->GetPolys ();
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2 changes: 1 addition & 1 deletion common/include/pcl/TextureMesh.h
Original file line number Diff line number Diff line change
Expand Up @@ -98,7 +98,7 @@ namespace pcl


std::vector<std::vector<pcl::Vertices> > tex_polygons; // polygon which is mapped with specific texture defined in TexMaterial
std::vector<std::vector<Eigen::Vector2f> > tex_coordinates; // UV coordinates
std::vector<std::vector<Eigen::Vector2f, Eigen::aligned_allocator<Eigen::Vector2f> > > tex_coordinates; // UV coordinates
std::vector<pcl::TexMaterial> tex_materials; // define texture material

public:
Expand Down
8 changes: 4 additions & 4 deletions common/include/pcl/common/impl/polynomial_calculations.hpp
Original file line number Diff line number Diff line change
Expand Up @@ -372,7 +372,7 @@ inline void
template<typename real>
inline pcl::BivariatePolynomialT<real>
pcl::PolynomialCalculationsT<real>::bivariatePolynomialApproximation (
std::vector<Eigen::Matrix<real, 3, 1> >& samplePoints, unsigned int polynomial_degree, bool& error) const
std::vector<Eigen::Matrix<real, 3, 1>, Eigen::aligned_allocator<Eigen::Matrix<real, 3, 1> > >& samplePoints, unsigned int polynomial_degree, bool& error) const
{
pcl::BivariatePolynomialT<real> ret;
error = bivariatePolynomialApproximation (samplePoints, polynomial_degree, ret);
Expand All @@ -384,7 +384,7 @@ inline pcl::BivariatePolynomialT<real>
template<typename real>
inline bool
pcl::PolynomialCalculationsT<real>::bivariatePolynomialApproximation (
std::vector<Eigen::Matrix<real, 3, 1> >& samplePoints, unsigned int polynomial_degree,
std::vector<Eigen::Matrix<real, 3, 1>, Eigen::aligned_allocator<Eigen::Matrix<real, 3, 1> > >& samplePoints, unsigned int polynomial_degree,
pcl::BivariatePolynomialT<real>& ret) const
{
//MEASURE_FUNCTION_TIME;
Expand Down Expand Up @@ -415,7 +415,7 @@ inline bool
real tmpX, tmpY;
real *tmpC = new real[parameters_size];
real* tmpCEndPtr = &tmpC[parameters_size-1];
for (typename std::vector<Eigen::Matrix<real, 3, 1> >::const_iterator it=samplePoints.begin ();
for (typename std::vector<Eigen::Matrix<real, 3, 1>, Eigen::aligned_allocator<Eigen::Matrix<real, 3, 1> > >::const_iterator it=samplePoints.begin ();
it!=samplePoints.end (); ++it)
{
currentX= (*it)[0]; currentY= (*it)[1]; currentZ= (*it)[2];
Expand Down Expand Up @@ -465,7 +465,7 @@ inline bool
//unsigned int posInC;
//real tmpX, tmpY;
//DVector<real> tmpC (parameters_size);
//for (typename std::vector<Eigen::Matrix<real, 3, 1> >::const_iterator it=samplePoints.begin ();
//for (typename std::vector<Eigen::Matrix<real, 3, 1>, Eigen::aligned_allocator<Eigen::Matrix<real, 3, 1> > >::const_iterator it=samplePoints.begin ();
// it!=samplePoints.end (); ++it)
//{
//currentX= (*it)[0]; currentY= (*it)[1]; currentZ= (*it)[2];
Expand Down
4 changes: 2 additions & 2 deletions common/include/pcl/common/polynomial_calculations.h
Original file line number Diff line number Diff line change
Expand Up @@ -93,12 +93,12 @@ namespace pcl
* error is set to true if the approximation did not work for any reason
* (not enough points, matrix not invertible, etc.) */
inline BivariatePolynomialT<real>
bivariatePolynomialApproximation (std::vector<Eigen::Matrix<real, 3, 1> >& samplePoints,
bivariatePolynomialApproximation (std::vector<Eigen::Matrix<real, 3, 1>, Eigen::aligned_allocator<Eigen::Matrix<real, 3, 1> > >& samplePoints,
unsigned int polynomial_degree, bool& error) const;

//! Same as above, using a reference for the return value
inline bool
bivariatePolynomialApproximation (std::vector<Eigen::Matrix<real, 3, 1> >& samplePoints,
bivariatePolynomialApproximation (std::vector<Eigen::Matrix<real, 3, 1>, Eigen::aligned_allocator<Eigen::Matrix<real, 3, 1> > >& samplePoints,
unsigned int polynomial_degree, BivariatePolynomialT<real>& ret) const;

//! Set the minimum value under which values are considered zero
Expand Down
8 changes: 4 additions & 4 deletions features/include/pcl/features/cvfh.h
Original file line number Diff line number Diff line change
Expand Up @@ -148,7 +148,7 @@ namespace pcl
* \param[out] centroids vector to hold the centroids
*/
inline void
getCentroidClusters (std::vector<Eigen::Vector3f> & centroids)
getCentroidClusters (std::vector<Eigen::Vector3f, Eigen::aligned_allocator<Eigen::Vector3f> > & centroids)
{
for (size_t i = 0; i < centroids_dominant_orientations_.size (); ++i)
centroids.push_back (centroids_dominant_orientations_[i]);
Expand All @@ -158,7 +158,7 @@ namespace pcl
* \param[out] centroids vector to hold the normal centroids
*/
inline void
getCentroidNormalClusters (std::vector<Eigen::Vector3f> & centroids)
getCentroidNormalClusters (std::vector<Eigen::Vector3f, Eigen::aligned_allocator<Eigen::Vector3f> > & centroids)
{
for (size_t i = 0; i < dominant_normals_.size (); ++i)
centroids.push_back (dominant_normals_[i]);
Expand Down Expand Up @@ -280,9 +280,9 @@ namespace pcl

protected:
/** \brief Centroids that were used to compute different CVFH descriptors */
std::vector<Eigen::Vector3f> centroids_dominant_orientations_;
std::vector<Eigen::Vector3f, Eigen::aligned_allocator<Eigen::Vector3f> > centroids_dominant_orientations_;
/** \brief Normal centroids that were used to compute different CVFH descriptors */
std::vector<Eigen::Vector3f> dominant_normals_;
std::vector<Eigen::Vector3f, Eigen::aligned_allocator<Eigen::Vector3f> > dominant_normals_;
};
}

Expand Down
2 changes: 1 addition & 1 deletion features/include/pcl/features/impl/rops_estimation.hpp
Original file line number Diff line number Diff line change
Expand Up @@ -237,7 +237,7 @@ pcl::ROPSEstimation <PointInT, PointOutT>::computeLRF (const PointInT& point, co
{
const unsigned int number_of_triangles = static_cast <unsigned int> (local_triangles.size ());

std::vector <Eigen::Matrix3f> scatter_matrices (number_of_triangles);
std::vector<Eigen::Matrix3f, Eigen::aligned_allocator<Eigen::Matrix3f> > scatter_matrices (number_of_triangles);
std::vector <float> triangle_area (number_of_triangles);
std::vector <float> distance_weight (number_of_triangles);

Expand Down
8 changes: 4 additions & 4 deletions features/include/pcl/features/our_cvfh.h
Original file line number Diff line number Diff line change
Expand Up @@ -192,7 +192,7 @@ namespace pcl
* \param[out] centroids vector to hold the centroids
*/
inline void
getCentroidClusters (std::vector<Eigen::Vector3f> & centroids)
getCentroidClusters (std::vector<Eigen::Vector3f, Eigen::aligned_allocator<Eigen::Vector3f> > & centroids)
{
for (size_t i = 0; i < centroids_dominant_orientations_.size (); ++i)
centroids.push_back (centroids_dominant_orientations_[i]);
Expand All @@ -202,7 +202,7 @@ namespace pcl
* \param[out] centroids vector to hold the normal centroids
*/
inline void
getCentroidNormalClusters (std::vector<Eigen::Vector3f> & centroids)
getCentroidNormalClusters (std::vector<Eigen::Vector3f, Eigen::aligned_allocator<Eigen::Vector3f> > & centroids)
{
for (size_t i = 0; i < dominant_normals_.size (); ++i)
centroids.push_back (dominant_normals_[i]);
Expand Down Expand Up @@ -395,9 +395,9 @@ namespace pcl

protected:
/** \brief Centroids that were used to compute different OUR-CVFH descriptors */
std::vector<Eigen::Vector3f> centroids_dominant_orientations_;
std::vector<Eigen::Vector3f, Eigen::aligned_allocator<Eigen::Vector3f> > centroids_dominant_orientations_;
/** \brief Normal centroids that were used to compute different OUR-CVFH descriptors */
std::vector<Eigen::Vector3f> dominant_normals_;
std::vector<Eigen::Vector3f, Eigen::aligned_allocator<Eigen::Vector3f> > dominant_normals_;
/** \brief Indices to the points representing the stable clusters */
std::vector<pcl::PointIndices> clusters_;
/** \brief Mapping from clusters to OUR-CVFH descriptors */
Expand Down
2 changes: 1 addition & 1 deletion features/include/pcl/features/principal_curvatures.h
Original file line number Diff line number Diff line change
Expand Up @@ -116,7 +116,7 @@ namespace pcl

private:
/** \brief A pointer to the input dataset that contains the point normals of the XYZ dataset. */
std::vector<Eigen::Vector3f> projected_normals_;
std::vector<Eigen::Vector3f, Eigen::aligned_allocator<Eigen::Vector3f> > projected_normals_;

/** \brief SSE aligned placeholder for the XYZ centroid of a surface patch. */
Eigen::Vector3f xyz_centroid_;
Expand Down
2 changes: 1 addition & 1 deletion filters/include/pcl/filters/covariance_sampling.h
Original file line number Diff line number Diff line change
Expand Up @@ -137,7 +137,7 @@ namespace pcl
/** \brief The normals computed at each point in the input cloud */
NormalsConstPtr input_normals_;

std::vector<Eigen::Vector3f> scaled_points_;
std::vector<Eigen::Vector3f, Eigen::aligned_allocator<Eigen::Vector3f> > scaled_points_;

bool
initCompute ();
Expand Down
12 changes: 6 additions & 6 deletions filters/include/pcl/filters/fast_bilateral.h
Original file line number Diff line number Diff line change
Expand Up @@ -122,7 +122,7 @@ namespace pcl
x_dim_ = width;
y_dim_ = height;
z_dim_ = depth;
v_ = std::vector<Eigen::Vector2f> (width*height*depth, Eigen::Vector2f (0.0f, 0.0f));
v_ = std::vector<Eigen::Vector2f, Eigen::aligned_allocator<Eigen::Vector2f> > (width*height*depth, Eigen::Vector2f (0.0f, 0.0f));
}

inline Eigen::Vector2f&
Expand Down Expand Up @@ -164,24 +164,24 @@ namespace pcl
z_size () const
{ return z_dim_; }

inline std::vector<Eigen::Vector2f >::iterator
inline std::vector<Eigen::Vector2f, Eigen::aligned_allocator<Eigen::Vector2f> >::iterator
begin ()
{ return v_.begin (); }

inline std::vector<Eigen::Vector2f >::iterator
inline std::vector<Eigen::Vector2f, Eigen::aligned_allocator<Eigen::Vector2f> >::iterator
end ()
{ return v_.end (); }

inline std::vector<Eigen::Vector2f >::const_iterator
inline std::vector<Eigen::Vector2f, Eigen::aligned_allocator<Eigen::Vector2f> >::const_iterator
begin () const
{ return v_.begin (); }

inline std::vector<Eigen::Vector2f >::const_iterator
inline std::vector<Eigen::Vector2f, Eigen::aligned_allocator<Eigen::Vector2f> >::const_iterator
end () const
{ return v_.end (); }

private:
std::vector<Eigen::Vector2f > v_;
std::vector<Eigen::Vector2f, Eigen::aligned_allocator<Eigen::Vector2f> > v_;
size_t x_dim_, y_dim_, z_dim_;
};

Expand Down
2 changes: 1 addition & 1 deletion filters/include/pcl/filters/impl/fast_bilateral.hpp
Original file line number Diff line number Diff line change
Expand Up @@ -136,7 +136,7 @@ pcl::FastBilateralFilter<PointT>::applyFilter (PointCloud &output)

if (early_division_)
{
for (std::vector<Eigen::Vector2f >::iterator d = data.begin (); d != data.end (); ++d)
for (std::vector<Eigen::Vector2f, Eigen::aligned_allocator<Eigen::Vector2f> >::iterator d = data.begin (); d != data.end (); ++d)
*d /= ((*d)[0] != 0) ? (*d)[1] : 1;

for (size_t x = 0; x < input_->width; x++)
Expand Down
2 changes: 1 addition & 1 deletion filters/include/pcl/filters/impl/fast_bilateral_omp.hpp
Original file line number Diff line number Diff line change
Expand Up @@ -158,7 +158,7 @@ pcl::FastBilateralFilterOMP<PointT>::applyFilter (PointCloud &output)

if (early_division_)
{
for (std::vector<Eigen::Vector2f >::iterator d = data.begin (); d != data.end (); ++d)
for (std::vector<Eigen::Vector2f, Eigen::aligned_allocator<Eigen::Vector2f> >::iterator d = data.begin (); d != data.end (); ++d)
*d /= ((*d)[0] != 0) ? (*d)[1] : 1;

#ifdef _OPENMP
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -99,7 +99,7 @@ pcl::VoxelGridOcclusionEstimation<PointT>::occlusionEstimation (int& out_state,
//////////////////////////////////////////////////////////////////////////////////////////////////////////////////
template <typename PointT> int
pcl::VoxelGridOcclusionEstimation<PointT>::occlusionEstimation (int& out_state,
std::vector<Eigen::Vector3i>& out_ray,
std::vector<Eigen::Vector3i, Eigen::aligned_allocator<Eigen::Vector3i> >& out_ray,
const Eigen::Vector3i& in_target_voxel)
{
if (!initialized_)
Expand Down Expand Up @@ -130,7 +130,7 @@ pcl::VoxelGridOcclusionEstimation<PointT>::occlusionEstimation (int& out_state,

//////////////////////////////////////////////////////////////////////////////////////////////////////////////////
template <typename PointT> int
pcl::VoxelGridOcclusionEstimation<PointT>::occlusionEstimationAll (std::vector<Eigen::Vector3i>& occluded_voxels)
pcl::VoxelGridOcclusionEstimation<PointT>::occlusionEstimationAll (std::vector<Eigen::Vector3i, Eigen::aligned_allocator<Eigen::Vector3i> >& occluded_voxels)
{
if (!initialized_)
{
Expand Down Expand Up @@ -334,7 +334,7 @@ pcl::VoxelGridOcclusionEstimation<PointT>::rayTraversal (const Eigen::Vector3i&

//////////////////////////////////////////////////////////////////////////////////////////////////////////////////
template <typename PointT> int
pcl::VoxelGridOcclusionEstimation<PointT>::rayTraversal (std::vector <Eigen::Vector3i>& out_ray,
pcl::VoxelGridOcclusionEstimation<PointT>::rayTraversal (std::vector<Eigen::Vector3i, Eigen::aligned_allocator<Eigen::Vector3i> >& out_ray,
const Eigen::Vector3i& target_voxel,
const Eigen::Vector4f& origin,
const Eigen::Vector4f& direction,
Expand Down
4 changes: 2 additions & 2 deletions filters/include/pcl/filters/voxel_grid.h
Original file line number Diff line number Diff line change
Expand Up @@ -689,12 +689,12 @@ namespace pcl
* \note for efficiency, user must make sure that the saving of the leaf layout is enabled and filtering performed
*/
inline std::vector<int>
getNeighborCentroidIndices (float x, float y, float z, const std::vector<Eigen::Vector3i> &relative_coordinates)
getNeighborCentroidIndices (float x, float y, float z, const std::vector<Eigen::Vector3i, Eigen::aligned_allocator<Eigen::Vector3i> > &relative_coordinates)
{
Eigen::Vector4i ijk (static_cast<int> (floorf (x * inverse_leaf_size_[0])), static_cast<int> (floorf (y * inverse_leaf_size_[1])), static_cast<int> (floorf (z * inverse_leaf_size_[2])), 0);
std::vector<int> neighbors;
neighbors.reserve (relative_coordinates.size ());
for (std::vector<Eigen::Vector3i>::const_iterator it = relative_coordinates.begin (); it != relative_coordinates.end (); it++)
for (std::vector<Eigen::Vector3i, Eigen::aligned_allocator<Eigen::Vector3i> >::const_iterator it = relative_coordinates.begin (); it != relative_coordinates.end (); it++)
neighbors.push_back (leaf_layout_[(ijk + (Eigen::Vector4i() << *it, 0).finished() - min_b_).dot (divb_mul_)]);
return (neighbors);
}
Expand Down
6 changes: 3 additions & 3 deletions filters/include/pcl/filters/voxel_grid_occlusion_estimation.h
Original file line number Diff line number Diff line change
Expand Up @@ -109,7 +109,7 @@ namespace pcl
*/
int
occlusionEstimation (int& out_state,
std::vector<Eigen::Vector3i>& out_ray,
std::vector<Eigen::Vector3i, Eigen::aligned_allocator<Eigen::Vector3i> >& out_ray,
const Eigen::Vector3i& in_target_voxel);

/** \brief Returns the voxel coordinates (i, j, k) of all occluded
Expand All @@ -118,7 +118,7 @@ namespace pcl
* \return the voxel coordinates (i, j, k)
*/
int
occlusionEstimationAll (std::vector<Eigen::Vector3i>& occluded_voxels);
occlusionEstimationAll (std::vector<Eigen::Vector3i, Eigen::aligned_allocator<Eigen::Vector3i> >& occluded_voxels);

/** \brief Returns the voxel grid filtered point cloud
* \return The voxel grid filtered point cloud
Expand Down Expand Up @@ -202,7 +202,7 @@ namespace pcl
* \return The estimated voxel state.
*/
int
rayTraversal (std::vector <Eigen::Vector3i>& out_ray,
rayTraversal (std::vector<Eigen::Vector3i, Eigen::aligned_allocator<Eigen::Vector3i> >& out_ray,
const Eigen::Vector3i& target_voxel,
const Eigen::Vector4f& origin,
const Eigen::Vector4f& direction,
Expand Down
2 changes: 1 addition & 1 deletion geometry/include/pcl/geometry/impl/polygon_operations.hpp
Original file line number Diff line number Diff line change
Expand Up @@ -180,7 +180,7 @@ pcl::approximatePolygon2D (const typename pcl::PointCloud<PointT>::VectorType &p
approx_polygon.reserve (result.size ());
if (refine)
{
std::vector<Eigen::Vector3f> lines (result.size ());
std::vector<Eigen::Vector3f, Eigen::aligned_allocator<Eigen::Vector3f> > lines (result.size ());
std::reverse (result.begin (), result.end ());
for (unsigned rIdx = 0; rIdx < result.size (); ++rIdx)
{
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -92,7 +92,7 @@ pcl::gpu::kinfuLS::StandaloneMarchingCubes<PointT>::getMeshFromTSDFCloud (const

//template <typename PointT> std::vector< typename pcl::gpu::StandaloneMarchingCubes<PointT>::MeshPtr >
template <typename PointT> void
pcl::gpu::kinfuLS::StandaloneMarchingCubes<PointT>::getMeshesFromTSDFVector (const std::vector<PointCloudPtr> &tsdf_clouds, const std::vector<Eigen::Vector3f> &tsdf_offsets)
pcl::gpu::kinfuLS::StandaloneMarchingCubes<PointT>::getMeshesFromTSDFVector (const std::vector<PointCloudPtr> &tsdf_clouds, const std::vector<Eigen::Vector3f, Eigen::aligned_allocator<Eigen::Vector3f> > &tsdf_offsets)
{
std::vector< MeshPtr > meshes_vector;

Expand Down
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