cv::fisheye Namespace Reference

Enumerations
enum	{   CALIB_USE_INTRINSIC_GUESS = 1, CALIB_RECOMPUTE_EXTRINSIC = 2, CALIB_CHECK_COND = 4, CALIB_FIX_SKEW = 8,   CALIB_FIX_K1 = 16, CALIB_FIX_K2 = 32, CALIB_FIX_K3 = 64, CALIB_FIX_K4 = 128,   CALIB_FIX_INTRINSIC = 256 }

Functions
void	projectPoints (InputArray objectPoints, OutputArray imagePoints, const Affine3d &affine, InputArray K, InputArray D, double alpha=0, OutputArray jacobian=noArray())
	projects 3D points using fisheye model More...
void	projectPoints (InputArray objectPoints, OutputArray imagePoints, InputArray rvec, InputArray tvec, InputArray K, InputArray D, double alpha=0, OutputArray jacobian=noArray())
	projects points using fisheye model More...
void	distortPoints (InputArray undistorted, OutputArray distorted, InputArray K, InputArray D, double alpha=0)
	distorts 2D points using fisheye model More...
void	undistortPoints (InputArray distorted, OutputArray undistorted, InputArray K, InputArray D, InputArray R=noArray(), InputArray P=noArray())
	undistorts 2D points using fisheye model More...
void	initUndistortRectifyMap (InputArray K, InputArray D, InputArray R, InputArray P, const cv::Size &size, int m1type, OutputArray map1, OutputArray map2)
void	undistortImage (InputArray distorted, OutputArray undistorted, InputArray K, InputArray D, InputArray Knew=cv::noArray(), const Size &new_size=Size())
	undistorts image, optionally changes resolution and camera matrix. If Knew zero identity matrix is used More...
void	estimateNewCameraMatrixForUndistortRectify (InputArray K, InputArray D, const Size &image_size, InputArray R, OutputArray P, double balance=0.0, const Size &new_size=Size(), double fov_scale=1.0)
	estimates new camera matrix for undistortion or rectification More...
double	calibrate (InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints, const Size &image_size, InputOutputArray K, InputOutputArray D, OutputArrayOfArrays rvecs, OutputArrayOfArrays tvecs, int flags=0, TermCriteria criteria=TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 100, DBL_EPSILON))
	performs camera calibaration More...
void	stereoRectify (InputArray K1, InputArray D1, InputArray K2, InputArray D2, const Size &imageSize, InputArray R, InputArray tvec, OutputArray R1, OutputArray R2, OutputArray P1, OutputArray P2, OutputArray Q, int flags, const Size &newImageSize=Size(), double balance=0.0, double fov_scale=1.0)
	stereo rectification estimation More...
double	stereoCalibrate (InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints1, InputArrayOfArrays imagePoints2, InputOutputArray K1, InputOutputArray D1, InputOutputArray K2, InputOutputArray D2, Size imageSize, OutputArray R, OutputArray T, int flags=CALIB_FIX_INTRINSIC, TermCriteria criteria=TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 100, DBL_EPSILON))
	performs stereo calibaration More...

Enumeration Type Documentation

anonymous enum

anonymous enum

Enumerator
CALIB_USE_INTRINSIC_GUESS
CALIB_RECOMPUTE_EXTRINSIC
CALIB_CHECK_COND
CALIB_FIX_SKEW
CALIB_FIX_K1
CALIB_FIX_K2
CALIB_FIX_K3
CALIB_FIX_K4
CALIB_FIX_INTRINSIC

Function Documentation

calibrate()

double cv::fisheye::calibrate	(	InputArrayOfArrays	objectPoints,
		InputArrayOfArrays	imagePoints,
		const Size &	image_size,
		InputOutputArray	K,
		InputOutputArray	D,
		OutputArrayOfArrays	rvecs,
		OutputArrayOfArrays	tvecs,
		int	flags = 0,
		TermCriteria	criteria = TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 100, DBL_EPSILON)
	)

performs camera calibaration

distortPoints()

void cv::fisheye::distortPoints	(	InputArray	undistorted,
		OutputArray	distorted,
		InputArray	K,
		InputArray	D,
		double	alpha = 0
	)

distorts 2D points using fisheye model

estimateNewCameraMatrixForUndistortRectify()

void cv::fisheye::estimateNewCameraMatrixForUndistortRectify	(	InputArray	K,
		InputArray	D,
		const Size &	image_size,
		InputArray	R,
		OutputArray	P,
		double	balance = 0.0,
		const Size &	new_size = Size(),
		double	fov_scale = 1.0
	)

estimates new camera matrix for undistortion or rectification

initUndistortRectifyMap()

void cv::fisheye::initUndistortRectifyMap	(	InputArray	K,
		InputArray	D,
		InputArray	R,
		InputArray	P,
		const cv::Size &	size,
		int	m1type,
		OutputArray	map1,
		OutputArray	map2
	)

computing undistortion and rectification maps for image transform by cv::remap() If D is empty zero distortion is used, if R or P is empty identity matrixes are used

projectPoints() [1/2]

void cv::fisheye::projectPoints	(	InputArray	objectPoints,
		OutputArray	imagePoints,
		const Affine3d &	affine,
		InputArray	K,
		InputArray	D,
		double	alpha = 0,
		OutputArray	jacobian = noArray()
	)

projects 3D points using fisheye model

projectPoints() [2/2]

void cv::fisheye::projectPoints	(	InputArray	objectPoints,
		OutputArray	imagePoints,
		InputArray	rvec,
		InputArray	tvec,
		InputArray	K,
		InputArray	D,
		double	alpha = 0,
		OutputArray	jacobian = noArray()
	)

projects points using fisheye model

stereoCalibrate()

double cv::fisheye::stereoCalibrate	(	InputArrayOfArrays	objectPoints,
		InputArrayOfArrays	imagePoints1,
		InputArrayOfArrays	imagePoints2,
		InputOutputArray	K1,
		InputOutputArray	D1,
		InputOutputArray	K2,
		InputOutputArray	D2,
		Size	imageSize,
		OutputArray	R,
		OutputArray	T,
		int	flags = CALIB_FIX_INTRINSIC,
		TermCriteria	criteria = TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 100, DBL_EPSILON)
	)

performs stereo calibaration

stereoRectify()

void cv::fisheye::stereoRectify	(	InputArray	K1,
		InputArray	D1,
		InputArray	K2,
		InputArray	D2,
		const Size &	imageSize,
		InputArray	R,
		InputArray	tvec,
		OutputArray	R1,
		OutputArray	R2,
		OutputArray	P1,
		OutputArray	P2,
		OutputArray	Q,
		int	flags,
		const Size &	newImageSize = Size(),
		double	balance = 0.0,
		double	fov_scale = 1.0
	)

stereo rectification estimation

undistortImage()

void cv::fisheye::undistortImage	(	InputArray	distorted,
		OutputArray	undistorted,
		InputArray	K,
		InputArray	D,
		InputArray	Knew = cv::noArray(),
		const Size &	new_size = Size()
	)

undistorts image, optionally changes resolution and camera matrix. If Knew zero identity matrix is used

undistortPoints()

void cv::fisheye::undistortPoints	(	InputArray	distorted,
		OutputArray	undistorted,
		InputArray	K,
		InputArray	D,
		InputArray	R = noArray(),
		InputArray	P = noArray()
	)

undistorts 2D points using fisheye model