Point Cloud Library (PCL)
1.11.1
|
45 #include <pcl/point_representation.h>
46 #include <pcl/search/kdtree.h>
47 #include <pcl/kdtree/kdtree.h>
48 #include <pcl/registration/transformation_validation.h>
52 namespace registration
74 template <
typename Po
intSource,
typename Po
intTarget,
typename Scalar =
float>
80 using Ptr = shared_ptr<TransformationValidation<PointSource, PointTarget, Scalar> >;
81 using ConstPtr = shared_ptr<const TransformationValidation<PointSource, PointTarget, Scalar> >;
96 max_range_ (std::numeric_limits<double>::max ()),
97 threshold_ (std::numeric_limits<double>::quiet_NaN ()),
134 bool force_no_recompute =
false)
137 if (force_no_recompute)
177 const Matrix4 &transformation_matrix)
const;
188 operator() (
const double &score1,
const double &score2)
const
190 return (score1 < score2);
205 const Matrix4 &transformation_matrix)
const
209 PCL_ERROR (
"[pcl::TransformationValidationEuclidean::isValid] Threshold not set! Please use setThreshold () before continuing.");
241 using Ptr = shared_ptr<MyPointRepresentation>;
242 using ConstPtr = shared_ptr<const MyPointRepresentation>;
268 #include <pcl/registration/impl/transformation_validation_euclidean.hpp>
Defines all the PCL and non-PCL macros used.
shared_ptr< KdTree< PointT, Tree > > Ptr
typename PointRepresentation< PointT >::ConstPtr PointRepresentationConstPtr
PointRepresentation provides a set of methods for converting a point structs/object into an n-dimensi...
search::KdTree is a wrapper class which inherits the pcl::KdTree class for performing search function...
#define PCL_MAKE_ALIGNED_OPERATOR_NEW
Macro to signal a class requires a custom allocator.
bool trivial_
Indicates whether this point representation is trivial.
int nr_dimensions_
The number of dimensions in this point's vector (i.e.
Defines functions, macros and traits for allocating and using memory.