toolbox::pcl::sift3d_keypoint_extractor_t< DataType, KNN > Class Template Reference

SIFT 3D (Scale-Invariant Feature Transform) 关键点提取器 / SIFT 3D (Scale-Invariant Feature Transform) keypoint extractor. More...

#include <sift3d_keypoints.hpp>

Inheritance diagram for toolbox::pcl::sift3d_keypoint_extractor_t< DataType, KNN >:

Public Types
using	base_type = base_keypoint_extractor_t< sift3d_keypoint_extractor_t< DataType, KNN >, DataType, KNN >
using	data_type = typename base_type::data_type
using	knn_type = typename base_type::knn_type
using	point_cloud = typename base_type::point_cloud
using	point_cloud_ptr = typename base_type::point_cloud_ptr
using	indices_vector = typename base_type::indices_vector

Public Member Functions
	sift3d_keypoint_extractor_t ()=default
std::size_t	set_input_impl (const point_cloud &cloud)
std::size_t	set_input_impl (const point_cloud_ptr &cloud)
std::size_t	set_knn_impl (const knn_type &knn)
std::size_t	set_search_radius_impl (data_type radius)
void	enable_parallel_impl (bool enable)
indices_vector	extract_impl ()
void	extract_impl (indices_vector &keypoint_indices)
point_cloud	extract_keypoints_impl ()
void	extract_keypoints_impl (point_cloud_ptr output)
void	set_num_scales (std::size_t num_scales)
void	set_base_scale (data_type scale)
void	set_scale_factor (data_type factor)
void	set_contrast_threshold (data_type threshold)
void	set_edge_threshold (data_type threshold)
void	set_num_neighbors (std::size_t num_neighbors)
std::size_t	get_num_scales () const
data_type	get_base_scale () const
data_type	get_scale_factor () const
data_type	get_contrast_threshold () const
data_type	get_edge_threshold () const
std::size_t	get_num_neighbors () const

Detailed Description

template<typename DataType, typename KNN = kdtree_generic_t<point_t<DataType>, toolbox::metrics::L2Metric<DataType>>>
class toolbox::pcl::sift3d_keypoint_extractor_t< DataType, KNN >

SIFT 3D (Scale-Invariant Feature Transform) 关键点提取器 / SIFT 3D (Scale-Invariant Feature Transform) keypoint extractor.

Template Parameters

DataType	数据类型（float或double） / Data type (float or double)
KNN	最近邻搜索算法类型，默认使用 kdtree_generic_t / K-nearest neighbor search algorithm type, defaults to kdtree_generic_t

SIFT 3D是经典SIFT算法在3D点云中的扩展，通过多尺度空间分析检测尺度不变的关键点 / SIFT 3D extends the classic SIFT algorithm to 3D point clouds, detecting scale-invariant keypoints through multi-scale space analysis

Member Typedef Documentation

base_type

template<typename DataType , typename KNN = kdtree_generic_t<point_t<DataType>, toolbox::metrics::L2Metric<DataType>>>

using toolbox::pcl::sift3d_keypoint_extractor_t< DataType, KNN >::base_type = base_keypoint_extractor_t<sift3d_keypoint_extractor_t<DataType, KNN>, DataType, KNN>

data_type

template<typename DataType , typename KNN = kdtree_generic_t<point_t<DataType>, toolbox::metrics::L2Metric<DataType>>>

using toolbox::pcl::sift3d_keypoint_extractor_t< DataType, KNN >::data_type = typename base_type::data_type

indices_vector

template<typename DataType , typename KNN = kdtree_generic_t<point_t<DataType>, toolbox::metrics::L2Metric<DataType>>>

using toolbox::pcl::sift3d_keypoint_extractor_t< DataType, KNN >::indices_vector = typename base_type::indices_vector

knn_type

template<typename DataType , typename KNN = kdtree_generic_t<point_t<DataType>, toolbox::metrics::L2Metric<DataType>>>

using toolbox::pcl::sift3d_keypoint_extractor_t< DataType, KNN >::knn_type = typename base_type::knn_type

point_cloud

template<typename DataType , typename KNN = kdtree_generic_t<point_t<DataType>, toolbox::metrics::L2Metric<DataType>>>

using toolbox::pcl::sift3d_keypoint_extractor_t< DataType, KNN >::point_cloud = typename base_type::point_cloud

point_cloud_ptr

template<typename DataType , typename KNN = kdtree_generic_t<point_t<DataType>, toolbox::metrics::L2Metric<DataType>>>

using toolbox::pcl::sift3d_keypoint_extractor_t< DataType, KNN >::point_cloud_ptr = typename base_type::point_cloud_ptr

Constructor & Destructor Documentation

sift3d_keypoint_extractor_t()

template<typename DataType , typename KNN = kdtree_generic_t<point_t<DataType>, toolbox::metrics::L2Metric<DataType>>>

toolbox::pcl::sift3d_keypoint_extractor_t< DataType, KNN >::sift3d_keypoint_extractor_t ( )

default

Member Function Documentation

enable_parallel_impl()

template<typename DataType , typename KNN >

void toolbox::pcl::sift3d_keypoint_extractor_t< DataType, KNN >::enable_parallel_impl

(

bool

enable

)

extract_impl() [1/2]

template<typename DataType , typename KNN >

sift3d_keypoint_extractor_t< DataType, KNN >::indices_vector toolbox::pcl::sift3d_keypoint_extractor_t< DataType, KNN >::extract_impl

(

)

extract_impl() [2/2]

template<typename DataType , typename KNN >

void toolbox::pcl::sift3d_keypoint_extractor_t< DataType, KNN >::extract_impl

(

indices_vector &

keypoint_indices

)

extract_keypoints_impl() [1/2]

template<typename DataType , typename KNN >

sift3d_keypoint_extractor_t< DataType, KNN >::point_cloud toolbox::pcl::sift3d_keypoint_extractor_t< DataType, KNN >::extract_keypoints_impl

(

)

extract_keypoints_impl() [2/2]

template<typename DataType , typename KNN >

void toolbox::pcl::sift3d_keypoint_extractor_t< DataType, KNN >::extract_keypoints_impl

(

point_cloud_ptr

output

)

get_base_scale()

template<typename DataType , typename KNN = kdtree_generic_t<point_t<DataType>, toolbox::metrics::L2Metric<DataType>>>

data_type toolbox::pcl::sift3d_keypoint_extractor_t< DataType, KNN >::get_base_scale ( ) const

inline

get_contrast_threshold()

template<typename DataType , typename KNN = kdtree_generic_t<point_t<DataType>, toolbox::metrics::L2Metric<DataType>>>

data_type toolbox::pcl::sift3d_keypoint_extractor_t< DataType, KNN >::get_contrast_threshold ( ) const

inline

get_edge_threshold()

template<typename DataType , typename KNN = kdtree_generic_t<point_t<DataType>, toolbox::metrics::L2Metric<DataType>>>

data_type toolbox::pcl::sift3d_keypoint_extractor_t< DataType, KNN >::get_edge_threshold ( ) const

inline

get_num_neighbors()

template<typename DataType , typename KNN = kdtree_generic_t<point_t<DataType>, toolbox::metrics::L2Metric<DataType>>>

std::size_t toolbox::pcl::sift3d_keypoint_extractor_t< DataType, KNN >::get_num_neighbors ( ) const

inline

get_num_scales()

template<typename DataType , typename KNN = kdtree_generic_t<point_t<DataType>, toolbox::metrics::L2Metric<DataType>>>

std::size_t toolbox::pcl::sift3d_keypoint_extractor_t< DataType, KNN >::get_num_scales ( ) const

inline

get_scale_factor()

template<typename DataType , typename KNN = kdtree_generic_t<point_t<DataType>, toolbox::metrics::L2Metric<DataType>>>

data_type toolbox::pcl::sift3d_keypoint_extractor_t< DataType, KNN >::get_scale_factor ( ) const

inline

set_base_scale()

template<typename DataType , typename KNN = kdtree_generic_t<point_t<DataType>, toolbox::metrics::L2Metric<DataType>>>

void toolbox::pcl::sift3d_keypoint_extractor_t< DataType, KNN >::set_base_scale ( data_type  scale )

inline

set_contrast_threshold()

template<typename DataType , typename KNN = kdtree_generic_t<point_t<DataType>, toolbox::metrics::L2Metric<DataType>>>

void toolbox::pcl::sift3d_keypoint_extractor_t< DataType, KNN >::set_contrast_threshold ( data_type  threshold )

inline

set_edge_threshold()

template<typename DataType , typename KNN = kdtree_generic_t<point_t<DataType>, toolbox::metrics::L2Metric<DataType>>>

void toolbox::pcl::sift3d_keypoint_extractor_t< DataType, KNN >::set_edge_threshold ( data_type  threshold )

inline

set_input_impl() [1/2]

template<typename DataType , typename KNN >

std::size_t toolbox::pcl::sift3d_keypoint_extractor_t< DataType, KNN >::set_input_impl

(

const point_cloud &

cloud

)

set_input_impl() [2/2]

template<typename DataType , typename KNN >

std::size_t toolbox::pcl::sift3d_keypoint_extractor_t< DataType, KNN >::set_input_impl

(

const point_cloud_ptr &

cloud

)

set_knn_impl()

template<typename DataType , typename KNN >

std::size_t toolbox::pcl::sift3d_keypoint_extractor_t< DataType, KNN >::set_knn_impl

(

const knn_type &

knn

)

set_num_neighbors()

template<typename DataType , typename KNN = kdtree_generic_t<point_t<DataType>, toolbox::metrics::L2Metric<DataType>>>

void toolbox::pcl::sift3d_keypoint_extractor_t< DataType, KNN >::set_num_neighbors ( std::size_t  num_neighbors )

inline

set_num_scales()

template<typename DataType , typename KNN = kdtree_generic_t<point_t<DataType>, toolbox::metrics::L2Metric<DataType>>>

void toolbox::pcl::sift3d_keypoint_extractor_t< DataType, KNN >::set_num_scales ( std::size_t  num_scales )

inline

set_scale_factor()

template<typename DataType , typename KNN = kdtree_generic_t<point_t<DataType>, toolbox::metrics::L2Metric<DataType>>>

void toolbox::pcl::sift3d_keypoint_extractor_t< DataType, KNN >::set_scale_factor ( data_type  factor )

inline

set_search_radius_impl()

template<typename DataType , typename KNN >

std::size_t toolbox::pcl::sift3d_keypoint_extractor_t< DataType, KNN >::set_search_radius_impl

(

data_type

radius

)

---

The documentation for this class was generated from the following files:

• src/include/cpp-toolbox/pcl/features/sift3d_keypoints.hpp
• src/include/cpp-toolbox/pcl/features/impl/sift3d_keypoints_impl.hpp