Typedefs | Functions
example_difference_of_normals.cpp File Reference
#include <string>
#include <pcl/point_types.h>
#include <pcl/io/pcd_io.h>
#include <pcl/kdtree/kdtree_flann.h>
#include <pcl/common/point_operators.h>
#include <pcl/common/io.h>
#include <pcl/search/organized.h>
#include <pcl/search/octree.h>
#include <pcl/search/kdtree.h>
#include <pcl/features/normal_3d_omp.h>
#include <pcl/filters/conditional_removal.h>
#include <pcl/segmentation/sac_segmentation.h>
#include <pcl/segmentation/extract_clusters.h>
#include <pcl/io/vtk_io.h>
#include <pcl/filters/voxel_grid.h>
#include <pcl/features/don.h>
Include dependency graph for example_difference_of_normals.cpp:

Go to the source code of this file.

Typedefs

typedef pcl::PointNormal PointNT
typedef pcl::PointNormal PointOutT
typedef pcl::PointXYZRGB PointT
typedef pcl::search::Search
< PointT >::Ptr 
SearchPtr

Functions

int main (int argc, char *argv[])

Typedef Documentation

Definition at line 31 of file example_difference_of_normals.cpp.

Definition at line 32 of file example_difference_of_normals.cpp.

Definition at line 30 of file example_difference_of_normals.cpp.

Definition at line 33 of file example_difference_of_normals.cpp.


Function Documentation

int main ( int  argc,
char *  argv[] 
)

The smallest scale to use in the DoN filter.

The largest scale to use in the DoN filter.

The minimum DoN magnitude to threshold by

segment scene into clusters with given distance tolerance using euclidean clustering

The file to read from.

The file to output to.

NOTE: setting viewpoint is very important, so that we can ensure normals are all pointed in the same direction!

Definition at line 35 of file example_difference_of_normals.cpp.



pcl
Author(s): Open Perception
autogenerated on Wed Aug 26 2015 15:38:44