cv::ccalib::CustomPattern 類參考

#include <opencv2/ccalib.hpp>

cv::ccalib::CustomPattern 的協作圖

公有成員函式
	CustomPattern ()
virtual	~CustomPattern ()
double	calibrate (InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints, Size imageSize, InputOutputArray cameraMatrix, InputOutputArray distCoeffs, OutputArrayOfArrays rvecs, OutputArrayOfArrays tvecs, int flags=0, TermCriteria criteria=TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 30, DBL_EPSILON))
bool	create (InputArray pattern, const Size2f boardSize, OutputArray output=noArray())
void	drawOrientation (InputOutputArray image, InputArray tvec, InputArray rvec, InputArray cameraMatrix, InputArray distCoeffs, double axis_length=3, int axis_width=2)
bool	findPattern (InputArray image, OutputArray matched_features, OutputArray pattern_points, const double ratio=0.7, const double proj_error=8.0, const bool refine_position=false, OutputArray out=noArray(), OutputArray H=noArray(), OutputArray pattern_corners=noArray())
bool	findRt (InputArray image, InputArray cameraMatrix, InputArray distCoeffs, InputOutputArray rvec, InputOutputArray tvec, bool useExtrinsicGuess=false, int flags=SOLVEPNP_ITERATIVE)
bool	findRt (InputArray objectPoints, InputArray imagePoints, InputArray cameraMatrix, InputArray distCoeffs, InputOutputArray rvec, InputOutputArray tvec, bool useExtrinsicGuess=false, int flags=SOLVEPNP_ITERATIVE)
bool	findRtRANSAC (InputArray image, InputArray cameraMatrix, InputArray distCoeffs, InputOutputArray rvec, InputOutputArray tvec, bool useExtrinsicGuess=false, int iterationsCount=100, float reprojectionError=8.0, int minInliersCount=100, OutputArray inliers=noArray(), int flags=SOLVEPNP_ITERATIVE)
bool	findRtRANSAC (InputArray objectPoints, InputArray imagePoints, InputArray cameraMatrix, InputArray distCoeffs, InputOutputArray rvec, InputOutputArray tvec, bool useExtrinsicGuess=false, int iterationsCount=100, float reprojectionError=8.0, int minInliersCount=100, OutputArray inliers=noArray(), int flags=SOLVEPNP_ITERATIVE)
Ptr< DescriptorExtractor >	getDescriptorExtractor ()
Ptr< DescriptorMatcher >	getDescriptorMatcher ()
Ptr< FeatureDetector >	getFeatureDetector ()
void	getPatternPoints (std::vector< KeyPoint > &original_points)
double	getPixelSize ()
bool	isInitialized ()
bool	setDescriptorExtractor (Ptr< DescriptorExtractor > extractor)
bool	setDescriptorMatcher (Ptr< DescriptorMatcher > matcher)
bool	setFeatureDetector (Ptr< FeatureDetector > featureDetector)
繼承自 cv::Algorithm 的公有成員函式
	Algorithm ()
virtual	~Algorithm ()
virtual void	clear ()
	清除演算法狀態。
virtual bool	empty () const
	如果 演算法 為空（例如在最開始或讀取不成功後），則返回 true。
virtual String	getDefaultName () const
virtual void	read (const FileNode &fn)
	從檔案儲存中讀取演算法引數。
virtual void	save (const String &filename) const
void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
virtual void	write (FileStorage &fs) const
	將演算法引數儲存到檔案儲存中。
void	write (FileStorage &fs, const String &name) const

附加繼承成員
繼承自 cv::Algorithm 的靜態公有成員函式
template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	從檔案中載入演算法。
template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	從字串載入演算法。
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	從檔案節點讀取演算法。
繼承自 cv::Algorithm 的保護成員函式
void	writeFormat (FileStorage &fs) const

建構函式 & 解構函式文件

CustomPattern()

cv::ccalib::CustomPattern::CustomPattern

(

)

~CustomPattern()

virtual cv::ccalib::CustomPattern::~CustomPattern ( )

virtual

成員函式文件

calibrate()

double cv::ccalib::CustomPattern::calibrate	(	InputArrayOfArrays	objectPoints,
		InputArrayOfArrays	imagePoints,
		Size	imageSize,
		InputOutputArray	cameraMatrix,
		InputOutputArray	distCoeffs,
		OutputArrayOfArrays	rvecs,
		OutputArrayOfArrays	tvecs,
		int	flags = 0,
		TermCriteria	criteria = TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 30, DBL_EPSILON) )

呼叫 calibrateCamera 函式並使用相同的輸入。

create()

bool cv::ccalib::CustomPattern::create	(	InputArray	pattern,
		const Size2f	boardSize,
		OutputArray	output = noArray() )

此函式的呼叫圖如下

drawOrientation()

void cv::ccalib::CustomPattern::drawOrientation	(	InputOutputArray	image,
		InputArray	tvec,
		InputArray	rvec,
		InputArray	cameraMatrix,
		InputArray	distCoeffs,
		double	axis_length = 3,
		int	axis_width = 2 )

pattern_corners -> 投影到影像上圖案邊緣的位置。

此函式的呼叫圖如下

findPattern()

bool cv::ccalib::CustomPattern::findPattern	(	InputArray	image,
		OutputArray	matched_features,
		OutputArray	pattern_points,
		const double	ratio = 0.7,
		const double	proj_error = 8.0,
		const bool	refine_position = false,
		OutputArray	out = noArray(),
		OutputArray	H = noArray(),
		OutputArray	pattern_corners = noArray() )

此函式的呼叫圖如下

findRt() [1/2]

bool cv::ccalib::CustomPattern::findRt	(	InputArray	image,
		InputArray	cameraMatrix,
		InputArray	distCoeffs,
		InputOutputArray	rvec,
		InputOutputArray	tvec,
		bool	useExtrinsicGuess = false,
		int	flags = SOLVEPNP_ITERATIVE )

使用 solvePnP 查詢圖案相對於相機座標系的旋轉和平移。

findRt() [2/2]

bool cv::ccalib::CustomPattern::findRt	(	InputArray	objectPoints,
		InputArray	imagePoints,
		InputArray	cameraMatrix,
		InputArray	distCoeffs,
		InputOutputArray	rvec,
		InputOutputArray	tvec,
		bool	useExtrinsicGuess = false,
		int	flags = SOLVEPNP_ITERATIVE )

findRtRANSAC() [1/2]

bool cv::ccalib::CustomPattern::findRtRANSAC	(	InputArray	image,
		InputArray	cameraMatrix,
		InputArray	distCoeffs,
		InputOutputArray	rvec,
		InputOutputArray	tvec,
		bool	useExtrinsicGuess = false,
		int	iterationsCount = 100,
		float	reprojectionError = 8.0,
		int	minInliersCount = 100,
		OutputArray	inliers = noArray(),
		int	flags = SOLVEPNP_ITERATIVE )

使用 solvePnPRansac()

此函式的呼叫圖如下

findRtRANSAC() [2/2]

bool cv::ccalib::CustomPattern::findRtRANSAC	(	InputArray	objectPoints,
		InputArray	imagePoints,
		InputArray	cameraMatrix,
		InputArray	distCoeffs,
		InputOutputArray	rvec,
		InputOutputArray	tvec,
		bool	useExtrinsicGuess = false,
		int	iterationsCount = 100,
		float	reprojectionError = 8.0,
		int	minInliersCount = 100,
		OutputArray	inliers = noArray(),
		int	flags = SOLVEPNP_ITERATIVE )

此函式的呼叫圖如下

getDescriptorExtractor()

Ptr< DescriptorExtractor > cv::ccalib::CustomPattern::getDescriptorExtractor

(

)

getDescriptorMatcher()

Ptr< DescriptorMatcher > cv::ccalib::CustomPattern::getDescriptorMatcher

(

)

getFeatureDetector()

Ptr< FeatureDetector > cv::ccalib::CustomPattern::getFeatureDetector

(

)

getPatternPoints()

void cv::ccalib::CustomPattern::getPatternPoints

(

std::vector< KeyPoint > &

original_points

)

返回一個包含原始點的 vector<Point>。

getPixelSize()

double cv::ccalib::CustomPattern::getPixelSize

(

)

獲取圖案的畫素尺寸。

isInitialized()

bool cv::ccalib::CustomPattern::isInitialized

(

)

setDescriptorExtractor()

bool cv::ccalib::CustomPattern::setDescriptorExtractor

(

Ptr< DescriptorExtractor >

extractor

)

setDescriptorMatcher()

bool cv::ccalib::CustomPattern::setDescriptorMatcher

(

Ptr< DescriptorMatcher >

matcher

)

setFeatureDetector()

bool cv::ccalib::CustomPattern::setFeatureDetector

(

Ptr< FeatureDetector >

featureDetector

)

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此類的文件是從以下檔案生成的

• opencv2/ccalib.hpp