Class implementing affine adaptation for key points. [詳解]

#include <xfeatures2d.hpp>

cv::Feature2Dを継承しています。

cv::xfeatures2d::TBMRに継承されています。

公開メンバ関数
virtual void	detect (InputArray image, CV_OUT std::vector< Elliptic_KeyPoint > &keypoints, InputArray mask=noArray())=0
	Detects keypoints in the image using the wrapped detector and performs affine adaptation to augment them with their elliptic regions.

virtual void	detectAndCompute (InputArray image, InputArray mask, CV_OUT std::vector< Elliptic_KeyPoint > &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false)=0
	Detects keypoints and computes descriptors for their surrounding regions, after warping them into circles.

virtual CV_WRAP void	detect (InputArray image, CV_OUT std::vector< KeyPoint > &keypoints, InputArray mask=noArray())
	Detects keypoints in an image (first variant) or image set (second variant). [詳解]

virtual CV_WRAP void	detect (InputArrayOfArrays images, CV_OUT std::vector< std::vector< KeyPoint > > &keypoints, InputArrayOfArrays masks=noArray())

virtual CV_WRAP void	detectAndCompute (InputArray image, InputArray mask, CV_OUT std::vector< KeyPoint > &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false)

基底クラス cv::Feature2D に属する継承公開メンバ関数
virtual CV_WRAP void	compute (InputArray image, CV_OUT CV_IN_OUT 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). [詳解]

virtual CV_WRAP void	compute (InputArrayOfArrays images, CV_OUT CV_IN_OUT std::vector< std::vector< KeyPoint > > &keypoints, OutputArrayOfArrays descriptors)

virtual CV_WRAP int	descriptorSize () const

virtual CV_WRAP int	descriptorType () const

virtual CV_WRAP int	defaultNorm () const

CV_WRAP void	write (const String &fileName) const

CV_WRAP void	read (const String &fileName)

virtual void	write (FileStorage &) const CV_OVERRIDE
	Stores algorithm parameters in a file storage [詳解]

virtual CV_WRAP void	read (const FileNode &) CV_OVERRIDE
	Reads algorithm parameters from a file storage [詳解]

virtual CV_WRAP bool	empty () const CV_OVERRIDE
	Return true if detector object is empty [詳解]

virtual CV_WRAP String	getDefaultName () const CV_OVERRIDE

CV_WRAP void	write (const Ptr< FileStorage > &fs, const String &name=String()) const

基底クラス cv::Algorithm に属する継承公開メンバ関数
virtual CV_WRAP void	clear ()
	Clears the algorithm state [詳解]

CV_WRAP void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
	simplified API for language bindings これはオーバーロードされたメンバ関数です。利便性のために用意されています。元の関数との違いは引き数のみです。

virtual CV_WRAP void	save (const String &filename) const

静的公開メンバ関数
static Ptr< AffineFeature2D >	create (Ptr< FeatureDetector > keypoint_detector, Ptr< DescriptorExtractor > descriptor_extractor)
	Creates an instance wrapping the given keypoint detector and descriptor extractor.

static Ptr< AffineFeature2D >	create (Ptr< FeatureDetector > keypoint_detector)
	Creates an instance where keypoint detector and descriptor extractor are identical.

基底クラス cv::Algorithm に属する継承静的公開メンバ関数
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node [詳解]

template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	Loads algorithm from the file [詳解]

template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String [詳解]

その他の継承メンバ
基底クラス cv::Algorithm に属する継承限定公開メンバ関数
void	writeFormat (FileStorage &fs) const

詳解

Class implementing affine adaptation for key points.

A FeatureDetector and a DescriptorExtractor are wrapped to augment the detected points with their affine invariant elliptic region and to compute the feature descriptors on the regions after warping them into circles.

The interface is equivalent to Feature2D, adding operations for Elliptic_KeyPoints instead of KeyPoints.

関数詳解

◆ detect() [1/2]

virtual CV_WRAP void cv::Feature2D::detect	(	InputArray	image,
		CV_OUT std::vector< KeyPoint > &	keypoints,
		InputArray	mask = `noArray()`
	)

virtual

Detects keypoints in an image (first variant) or image set (second variant).

引数

image	Image.
keypoints	The detected keypoints. In the second variant of the method keypoints[i] is a set of keypoints detected in images[i] .
mask	Mask specifying where to look for keypoints (optional). It must be a 8-bit integer matrix with non-zero values in the region of interest.

cv::Feature2Dを再実装しています。

◆ detect() [2/2]

virtual CV_WRAP void cv::Feature2D::detect	(	InputArrayOfArrays	images,
		CV_OUT std::vector< std::vector< KeyPoint > > &	keypoints,
		InputArrayOfArrays	masks = `noArray()`
	)

virtual

これはオーバーロードされたメンバ関数です。利便性のために用意されています。元の関数との違いは引き数のみです。

引数

images	Image set.
keypoints	The detected keypoints. In the second variant of the method keypoints[i] is a set of keypoints detected in images[i] .
masks	Masks for each input image specifying where to look for keypoints (optional). masks[i] is a mask for images[i].

cv::Feature2Dを再実装しています。

◆ detectAndCompute()

virtual CV_WRAP void cv::Feature2D::detectAndCompute	(	InputArray	image,
		InputArray	mask,
		CV_OUT std::vector< KeyPoint > &	keypoints,
		OutputArray	descriptors,
		bool	useProvidedKeypoints = `false`
	)

virtual

Detects keypoints and computes the descriptors

cv::Feature2Dを再実装しています。

このクラス詳解は次のファイルから抽出されました:

xfeatures2d.hpp

公開メンバ関数

静的公開メンバ関数

その他の継承メンバ

詳解

関数詳解

◆ detect() [1/2]

◆ detect() [2/2]

◆ detectAndCompute()