Class cv::xfeatures2d::TBMR#

Class implementing the Tree Based Morse Regions (TBMR) as described in [344] extended with scaled extraction ability. View details

#include <opencv2/xfeatures2d.hpp>

Collaboration diagram for cv::xfeatures2d::TBMR:

Public Member Functions#

Public Member Functions inherited from cv::xfeatures2d::AffineFeature2D

Return	Name	Description
`void`	`detect(` `InputArray image,` `std::vector< Elliptic_KeyPoint > & keypoints,` `InputArray mask = noArray() )`	Detects keypoints in the image using the wrapped detector and performs affine adaptation to augment them with their elliptic regions.
`void`	`detect(` `InputArray image,` `std::vector< KeyPoint > & keypoints,` `InputArray mask = noArray() )`	Detects keypoints in an image (first variant) or image set (second variant).
`void`	`detect(` `InputArrayOfArrays images,` `std::vector< std::vector< KeyPoint > > & keypoints,` `InputArrayOfArrays masks = noArray() )`
`void`	`detectAndCompute(` `InputArray image,` `InputArray mask,` `std::vector< Elliptic_KeyPoint > & keypoints,` `OutputArray descriptors,` `bool useProvidedKeypoints = false )`	Detects keypoints and computes descriptors for their surrounding regions, after warping them into circles.
`void`	`detectAndCompute(` `InputArray image,` `InputArray mask,` `std::vector< KeyPoint > & keypoints,` `OutputArray descriptors,` `bool useProvidedKeypoints = false )`

Public Member Functions inherited from cv::Feature2D

Return	Name	Description
	`~Feature2D()`
`void`	`compute(` `InputArray image,` `std::vector< KeyPoint > & keypoints,` `OutputArray descriptors )`	Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).
`void`	`compute(` `InputArrayOfArrays images,` `std::vector< std::vector< KeyPoint > > & keypoints,` `OutputArrayOfArrays descriptors )`
`int`	`defaultNorm()`
`int`	`descriptorSize()`
`int`	`descriptorType()`
`void`	`detect(` `InputArray image,` `std::vector< KeyPoint > & keypoints,` `InputArray mask = noArray() )`	Detects keypoints in an image (first variant) or image set (second variant).
`void`	`detect(` `InputArrayOfArrays images,` `std::vector< std::vector< KeyPoint > > & keypoints,` `InputArrayOfArrays masks = noArray() )`
`void`	`detectAndCompute(` `InputArray image,` `InputArray mask,` `std::vector< KeyPoint > & keypoints,` `OutputArray descriptors,` `bool useProvidedKeypoints = false )`
`bool`	`empty()`	Return true if detector object is empty.
`String`	`getDefaultName()`
`void`	`read(const FileNode & fn)`	Reads algorithm parameters from a file storage.
`void`	`read(const String & fileName)`
`void`	`write(const String & fileName)`
`void`	`write(FileStorage & fs)`	Stores algorithm parameters in a file storage.
`void`	`write(` `FileStorage & fs,` `const String & name )`

Public Member Functions inherited from cv::Algorithm

Return	Name	Description
	`Algorithm()`
	`~Algorithm()`
`void`	`clear()`	Clears the algorithm state.
`bool`	`empty()`	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
`String`	`getDefaultName()`
`void`	`read(const FileNode & fn)`	Reads algorithm parameters from a file storage.
`void`	`save(const String & filename)`
`void`	`write(` `const Ptr< FileStorage > & fs,` `const String & name = String() )`
`void`	`write(FileStorage & fs)`	Stores algorithm parameters in a file storage.
`void`	`write(` `FileStorage & fs,` `const String & name )`

Static Public Member Functions#

Static Public Member Functions inherited from cv::xfeatures2d::AffineFeature2D

Return	Name	Description
`static Ptr< AffineFeature2D >`	`create(Ptr< FeatureDetector > keypoint_detector)`	Creates an instance where keypoint detector and descriptor extractor are identical.
`static Ptr< AffineFeature2D >`	`create(` `Ptr< FeatureDetector > keypoint_detector,` `Ptr< DescriptorExtractor > descriptor_extractor )`	Creates an instance wrapping the given keypoint detector and descriptor extractor.

Static Public Member Functions inherited from cv::Algorithm

Return	Name	Description
`static Ptr< _Tp >`	`load(` `const String & filename,` `const String & objname = String() )`	Loads algorithm from the file.
`static Ptr< _Tp >`	`loadFromString(` `const String & strModel,` `const String & objname = String() )`	Loads algorithm from a String.
`static Ptr< _Tp >`	`read(const FileNode & fn)`	Reads algorithm from the file node.

Additional Inherited Members#

Detailed Description#

Class implementing the Tree Based Morse Regions (TBMR) as described in Najman2014 extended with scaled extraction ability.

Features are ellipses (similar to MSER, however a MSER feature can never be a TBMR feature and vice versa).

Note

This algorithm is based on Component Tree (Min/Max) as well as MSER but uses a Morse-theory approach to extract features.

Param min_area:: prune areas smaller than minArea
Param max_area_relative:: prune areas bigger than maxArea = max_area_relative * input_image_size
Param scale_factor:: scale factor for scaled extraction.
Param n_scales:: number of applications of the scale factor (octaves).

Member Function Documentation#

create()#

static Ptr< TBMR > cv::xfeatures2d::TBMR::create(
int min_area = 60,
float max_area_relative = 0.01f,
float scale_factor = 1.25f,
int n_scales = -1 )

getDefaultName()#

String cv::xfeatures2d::TBMR::getDefaultName()

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

getMaxAreaRelative()#

float cv::xfeatures2d::TBMR::getMaxAreaRelative()

getMinArea()#

int cv::xfeatures2d::TBMR::getMinArea()

getNScales()#

int cv::xfeatures2d::TBMR::getNScales()

getScaleFactor()#

float cv::xfeatures2d::TBMR::getScaleFactor()

setMaxAreaRelative()#

void cv::xfeatures2d::TBMR::setMaxAreaRelative(float maxArea)

setMinArea()#

void cv::xfeatures2d::TBMR::setMinArea(int minArea)

setNScales()#

void cv::xfeatures2d::TBMR::setNScales(int n_scales)

setScaleFactor()#

void cv::xfeatures2d::TBMR::setScaleFactor(float scale_factor)

Source file#

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

opencv2/xfeatures2d.hpp