cv::sfm Namespace Reference

Classes
class	BaseSFM
	base class BaseSFM declares a common API that would be used in a typical scene reconstruction scenario More...
class	libmv_CameraIntrinsicsOptions
	Data structure describing the camera model and its parameters. More...
class	libmv_ReconstructionOptions
	Data structure describing the reconstruction options. More...
class	SFMLibmvEuclideanReconstruction
	SFMLibmvEuclideanReconstruction class provides an interface with the Libmv Structure From Motion pipeline. More...

Enumerations
enum	{   SFM_IO_BUNDLER = 0 ,   SFM_IO_VISUALSFM = 1 ,   SFM_IO_OPENSFM = 2 ,   SFM_IO_OPENMVG = 3 ,   SFM_IO_THEIASFM = 4 }
	Different supported file formats. More...
enum	{   SFM_DISTORTION_MODEL_POLYNOMIAL = 0 ,   SFM_DISTORTION_MODEL_DIVISION = 1 }
	Different camera models that libmv supports. More...
enum	{   SFM_REFINE_FOCAL_LENGTH = (1 << 0) ,   SFM_REFINE_PRINCIPAL_POINT = (1 << 1) ,   SFM_REFINE_RADIAL_DISTORTION_K1 = (1 << 2) ,   SFM_REFINE_RADIAL_DISTORTION_K2 = (1 << 4) }
	All internal camera parameters that libmv is able to refine. More...

Functions
void	applyTransformationToPoints (InputArray points, InputArray T, OutputArray transformed_points)
	Apply Transformation to points.
void	computeOrientation (InputArrayOfArrays x1, InputArrayOfArrays x2, OutputArray R, OutputArray t, double s)
	Computes Absolute or Exterior Orientation (Pose Estimation) between 2 sets of 3D point.
double	depth (InputArray R, InputArray t, InputArray X)
	Returns the depth of a point transformed by a rigid transform.
void	essentialFromFundamental (InputArray F, InputArray K1, InputArray K2, OutputArray E)
	Get Essential matrix from Fundamental and Camera matrices.
void	essentialFromRt (InputArray R1, InputArray t1, InputArray R2, InputArray t2, OutputArray E)
	Get Essential matrix from Motion (R's and t's ).
void	euclideanToHomogeneous (InputArray src, OutputArray dst)
	Converts points from Euclidean to homogeneous space. E.g., ((x,y)->(x,y,1))
double	fundamentalFromCorrespondences7PointRobust (InputArray x1, InputArray x2, double max_error, OutputArray F, OutputArray inliers, double outliers_probability=1e-2)
	Estimate robustly the fundamental matrix between two dataset of 2D point (image coords space).
double	fundamentalFromCorrespondences8PointRobust (InputArray x1, InputArray x2, double max_error, OutputArray F, OutputArray inliers, double outliers_probability=1e-2)
	Estimate robustly the fundamental matrix between two dataset of 2D point (image coords space).
void	fundamentalFromEssential (InputArray E, InputArray K1, InputArray K2, OutputArray F)
	Get Essential matrix from Fundamental and Camera matrices.
void	fundamentalFromProjections (InputArray P1, InputArray P2, OutputArray F)
	Get Fundamental matrix from Projection matrices.
void	homogeneousToEuclidean (InputArray src, OutputArray dst)
	Converts point coordinates from homogeneous to euclidean pixel coordinates. E.g., ((x,y,z)->(x/z, y/z))
void	importReconstruction (const cv::String &file, OutputArrayOfArrays Rs, OutputArrayOfArrays Ts, OutputArrayOfArrays Ks, OutputArrayOfArrays points3d, int file_format=SFM_IO_BUNDLER)
	Import a reconstruction file.
void	isotropicPreconditionerFromPoints (InputArray points, OutputArray T)
	Point conditioning (isotropic).
void	KRtFromProjection (InputArray P, OutputArray K, OutputArray R, OutputArray t)
	Get K, R and t from projection matrix P, decompose using the RQ decomposition.
void	meanAndVarianceAlongRows (InputArray A, OutputArray mean, OutputArray variance)
	Computes the mean and variance of a given matrix along its rows.
void	motionFromEssential (InputArray E, OutputArrayOfArrays Rs, OutputArrayOfArrays ts)
int	motionFromEssentialChooseSolution (InputArrayOfArrays Rs, InputArrayOfArrays ts, InputArray K1, InputArray x1, InputArray K2, InputArray x2)
void	normalizedEightPointSolver (InputArray x1, InputArray x2, OutputArray F)
	Estimate the fundamental matrix between two dataset of 2D point (image coords space).
void	normalizeFundamental (InputArray F, OutputArray F_normalized)
	Normalizes the Fundamental matrix.
void	normalizeIsotropicPoints (InputArray points, OutputArray normalized_points, OutputArray T)
	This function normalizes points. (isotropic).
void	normalizePoints (InputArray points, OutputArray normalized_points, OutputArray T)
	This function normalizes points (non isotropic).
void	preconditionerFromPoints (InputArray points, OutputArray T)
void	projectionFromKRt (InputArray K, InputArray R, InputArray t, OutputArray P)
	Get projection matrix P from K, R and t.
void	projectionsFromFundamental (InputArray F, OutputArray P1, OutputArray P2)
	Get projection matrices from Fundamental matrix.
void	reconstruct (const std::vector< String > images, OutputArray Ps, OutputArray points3d, InputOutputArray K, bool is_projective=false)
	Reconstruct 3d points from 2d images while performing autocalibration.
void	reconstruct (const std::vector< String > images, OutputArray Rs, OutputArray Ts, InputOutputArray K, OutputArray points3d, bool is_projective=false)
	Reconstruct 3d points from 2d images while performing autocalibration.
void	reconstruct (InputArrayOfArrays points2d, OutputArray Ps, OutputArray points3d, InputOutputArray K, bool is_projective=false)
	Reconstruct 3d points from 2d correspondences while performing autocalibration.
void	reconstruct (InputArrayOfArrays points2d, OutputArray Rs, OutputArray Ts, InputOutputArray K, OutputArray points3d, bool is_projective=false)
	Reconstruct 3d points from 2d correspondences while performing autocalibration.
void	relativeCameraMotion (InputArray R1, InputArray t1, InputArray R2, InputArray t2, OutputArray R, OutputArray t)
	Computes the relative camera motion between two cameras.
Mat	skew (InputArray x)
	Returns the 3x3 skew symmetric matrix of a vector.
void	triangulatePoints (InputArrayOfArrays points2d, InputArrayOfArrays projection_matrices, OutputArray points3d)
	Reconstructs bunch of points by triangulation.