cv::xfeatures2d::HarrisLaplaceFeatureDetector 类引用

实现 Harris-Laplace 特征检测器的类，如 [192] 中所述。更多...

#include <opencv2/xfeatures2d.hpp>

cv::xfeatures2d::HarrisLaplaceFeatureDetector 的协作图

公共成员函数
虚拟 float	getCornThresh () const =0
String	getDefaultName () const CV_OVERRIDE
虚拟 float	getDOGThresh () const =0
虚拟 int	getMaxCorners () const =0
虚拟 int	getNumLayers () const =0
虚拟 int	getNumOctaves () const =0
虚拟 void	setCornThresh (float corn_thresh_)=0
虚拟 void	setDOGThresh (float DOG_thresh_)=0
虚拟 void	setMaxCorners (int maxCorners_)=0
虚拟 void	setNumLayers (int num_layers_)=0
虚拟 void	setNumOctaves (int numOctaves_)=0
从 cv::Feature2D 继承的公共成员函数
virtual	~Feature2D ()
虚拟 void	compute (InputArray image, vector<KeyPoint> &keypoints, OutputArray descriptors)
	计算图像中检测到的关键点（第一个变体）或图像集（第二个变体）的描述符。
虚拟 void	compute (InputArrayOfArrays images, vector<vector<KeyPoint > > &keypoints, OutputArrayOfArrays descriptors)
虚拟 int	defaultNorm () const
虚拟 int	descriptorSize () const
虚拟 int	descriptorType () const
虚拟 void	detect (InputArray image, vector<KeyPoint > &keypoints, InputArray mask=noArray())
	检测图像中的关键点（第一个变体）或图像集（第二个变体）。
虚拟 void	detect (InputArrayOfArrays images, vector<vector<KeyPoint > > &keypoints, InputArrayOfArrays masks=noArray())
虚拟 void	detectAndCompute (InputArray image, InputArray mask, vector<KeyPoint> &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false)
virtual bool	empty () const CV_OVERRIDE
	如果检测器对象为空，则返回 true。
虚拟 void	read (const FileNode &) CV_OVERRIDE
	从文件存储中读取算法参数。
void	read (const
void	写入 (const Ptr< 文件存储 > &fs，const 字符串 &name)
void	写入 (const 字符串 &fileName) const
虚拟 void	写入（文件存储 &）const CV_OVERRIDE
	将算法参数存储在文件存储器中。
void	写入 (文件存储 &fs，const 字符串 &name) const
公共成员函数继承自 cv::Algorithm
	算法 ()
virtual	~Algorithm ()
虚拟 void	清理 ()
	清除算法状态。
虚拟 void	保存 (const 字符串 &filename) const
void	写入 (const Ptr< 文件存储 > &fs，const 字符串 &name=字符串()) const
void	写入 (文件存储 &fs，const 字符串 &name) const

静态公共成员函数
static Ptr< HarrisLaplaceFeatureDetector >	创建 (int numOctaves=6，float corn_thresh=0.01f，float DOG_thresh=0.01f，int maxCorners=5000，int num_layers=4)
	创建一个新的实现实例。
静态公共成员函数继承自 cv::Algorithm
template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	从文件中加载算法。
template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	从字符串加载算法。
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	从文件节点读取算法。

从 cv::Algorithm 继承的其他成员
cv::Algorithm 继承的受保护成员函数
void	writeFormat (FileStorage &fs) const

详细信息

实现类，实现如 [192] 所述的 Harris-Laplace 特征检测器。

成员函数文档

create()

static Ptr< HarrisLaplaceFeatureDetector > cv::xfeatures2d::HarrisLaplaceFeatureDetector::create ( int  numOctaves = 6, float  corn_thresh = 0.01f, float  DOG_thresh = 0.01f, int  maxCorners = 5000, int  num_layers = 4  )

static

Python
	cv.xfeatures2d.HarrisLaplaceFeatureDetector.create(	[, numOctaves[, corn_thresh[, DOG_thresh[, maxCorners[, num_layers]]]]]	) ->	retval
	cv.xfeatures2d.HarrisLaplaceFeatureDetector_create(	[, numOctaves[, corn_thresh[, DOG_thresh[, maxCorners[, num_layers]]]]]	) ->	retval

创建一个新的实现实例。

参数

numOctaves	尺度空间金字塔中的八度数
corn_thresh	Harris 角点度量阈值
DOG_thresh	高斯差分尺度选择阈值
maxCorners	考虑的最大角点数
num_layers	每个八度中的中间尺度数

getCornThresh()

virtual float cv::xfeatures2d::HarrisLaplaceFeatureDetector::getCornThresh ( ) const

纯 virtual

Python
	cv.xfeatures2d.HarrisLaplaceFeatureDetector.getCornThresh(		) ->	retval

getDefaultName()

String cv::xfeatures2d::HarrisLaplaceFeatureDetector::getDefaultName ( ) const

virtual

Python
	cv.xfeatures2d.HarrisLaplaceFeatureDetector.getDefaultName(		) ->	retval

返回算法字符串标识符。将对象保存到文件或字符串时，此字符串用作顶级 xml/yml 节点标记。

从 cv::Feature2D 重新实现。

getDOGThresh()

virtual float cv::xfeatures2d::HarrisLaplaceFeatureDetector::getDOGThresh ( ) const

纯 virtual

Python
	cv.xfeatures2d.HarrisLaplaceFeatureDetector.getDOGThresh(		) ->	retval

getMaxCorners()

virtual int cv::xfeatures2d::HarrisLaplaceFeatureDetector::getMaxCorners ( ) const

纯 virtual

Python
	cv.xfeatures2d.HarrisLaplaceFeatureDetector.getMaxCorners(		) ->	retval

getNumLayers()

virtual int cv::xfeatures2d::HarrisLaplaceFeatureDetector::getNumLayers ( ) const

纯 virtual

Python
	cv.xfeatures2d.HarrisLaplaceFeatureDetector.getNumLayers(		) ->	retval

getNumOctaves()

virtual int cv::xfeatures2d::HarrisLaplaceFeatureDetector::getNumOctaves ( ) const

纯 virtual

Python
	cv.xfeatures2d.HarrisLaplaceFeatureDetector.getNumOctaves(		) ->	retval

setCornThresh()

virtual void cv::xfeatures2d::HarrisLaplaceFeatureDetector::setCornThresh ( float  corn_thresh_ )

纯 virtual

Python
	cv.xfeatures2d.HarrisLaplaceFeatureDetector.setCornThresh(	corn_thresh_	) ->	无

setDOGThresh()

virtual void cv::xfeatures2d::HarrisLaplaceFeatureDetector::setDOGThresh ( float  DOG_thresh_ )

纯 virtual

Python
	cv.xfeatures2d.HarrisLaplaceFeatureDetector.setDOGThresh(	DOG_thresh_	) ->	无

setMaxCorners()

virtual void cv::xfeatures2d::HarrisLaplaceFeatureDetector::setMaxCorners ( int  maxCorners_ )

纯 virtual

Python
	cv.xfeatures2d.HarrisLaplaceFeatureDetector.setMaxCorners(	maxCorners_	) ->	无

setNumLayers()

virtual void cv::xfeatures2d::HarrisLaplaceFeatureDetector::setNumLayers ( int  num_layers_ )

纯 virtual

Python
	cv.xfeatures2d.HarrisLaplaceFeatureDetector.setNumLayers(	num_layers_	) ->	无

setNumOctaves()

virtual void cv::xfeatures2d::HarrisLaplaceFeatureDetector::setNumOctaves ( int  numOctaves_ )

纯 virtual

Python
	cv.xfeatures2d.HarrisLaplaceFeatureDetector.setNumOctaves(	numOctaves_	) ->	无

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类的文档由此文件生成

• opencv2/xfeatures2d.hpp