Class cv::xfeatures2d::MSDDetector#

Class implementing the MSD (Maximal Self-Dissimilarity) keypoint detector, described in [305]. View details

#include <opencv2/xfeatures2d.hpp>

Collaboration diagram for cv::xfeatures2d::MSDDetector:

Public Member Functions#

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::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 MSD (Maximal Self-Dissimilarity) keypoint detector, described in Tombari14.

The algorithm implements a novel interest point detector stemming from the intuition that image patches which are highly dissimilar over a relatively large extent of their surroundings hold the property of being repeatable and distinctive. This concept of “contextual self-dissimilarity” reverses the key paradigm of recent successful techniques such as the Local Self-Similarity descriptor and the Non-Local Means filter, which build upon the presence of similar - rather than dissimilar - patches. Moreover, it extends to contextual information the local self-dissimilarity notion embedded in established detectors of corner-like interest points, thereby achieving enhanced repeatability, distinctiveness and localization accuracy.

Member Function Documentation#

create()#

static Ptr< MSDDetector > cv::xfeatures2d::MSDDetector::create(
int m_patch_radius = 3,
int m_search_area_radius = 5,
int m_nms_radius = 5,
int m_nms_scale_radius = 0,
float m_th_saliency = 250.0f,
int m_kNN = 4,
float m_scale_factor = 1.25f,
int m_n_scales = -1,
bool m_compute_orientation = false )

getComputeOrientation()#

bool cv::xfeatures2d::MSDDetector::getComputeOrientation()

getDefaultName()#

String cv::xfeatures2d::MSDDetector::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.

getKNN()#

int cv::xfeatures2d::MSDDetector::getKNN()

getNmsRadius()#

int cv::xfeatures2d::MSDDetector::getNmsRadius()

getNmsScaleRadius()#

int cv::xfeatures2d::MSDDetector::getNmsScaleRadius()

getNScales()#

int cv::xfeatures2d::MSDDetector::getNScales()

getPatchRadius()#

int cv::xfeatures2d::MSDDetector::getPatchRadius()

getScaleFactor()#

float cv::xfeatures2d::MSDDetector::getScaleFactor()

getSearchAreaRadius()#

int cv::xfeatures2d::MSDDetector::getSearchAreaRadius()

getThSaliency()#

float cv::xfeatures2d::MSDDetector::getThSaliency()

setComputeOrientation()#

void cv::xfeatures2d::MSDDetector::setComputeOrientation(bool compute_orientation)

setKNN()#

void cv::xfeatures2d::MSDDetector::setKNN(int kNN)

setNmsRadius()#

void cv::xfeatures2d::MSDDetector::setNmsRadius(int nms_radius)

setNmsScaleRadius()#

void cv::xfeatures2d::MSDDetector::setNmsScaleRadius(int nms_scale_radius)

setNScales()#

void cv::xfeatures2d::MSDDetector::setNScales(int use_orientation)

setPatchRadius()#

void cv::xfeatures2d::MSDDetector::setPatchRadius(int patch_radius)

setScaleFactor()#

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

setSearchAreaRadius()#

void cv::xfeatures2d::MSDDetector::setSearchAreaRadius(int use_orientation)

setThSaliency()#

void cv::xfeatures2d::MSDDetector::setThSaliency(float th_saliency)

Source file#

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

opencv2/xfeatures2d.hpp