Uses of Class
com.irurueta.geometry.estimators.PinholeCameraEstimatorException

Packages that use PinholeCameraEstimatorException

Package	Description
com.irurueta.geometry.estimators	This package contains classes to estimate basic geometric structures

Uses of PinholeCameraEstimatorException in com.irurueta.geometry.estimators

Methods in com.irurueta.geometry.estimators that throw PinholeCameraEstimatorException

Modifier and Type	Method	Description
PinholeCamera	DLTLinePlaneCorrespondencePinholeCameraEstimator.estimate()	Estimates a pinhole camera.
PinholeCamera	EPnPPointCorrespondencePinholeCameraEstimator.estimate()	Estimates a pinhole camera.
abstract PinholeCamera	PinholeCameraEstimator.estimate()	Estimates a pinhole camera.
PinholeCamera	PointCorrespondencePinholeCameraEstimator.estimate()	Estimates a pinhole camera.
PinholeCamera	UPnPPointCorrespondencePinholeCameraEstimator.estimate()	Estimates a pinhole camera.
PinholeCamera	WeightedLinePlaneCorrespondencePinholeCameraEstimator.estimate()	Estimates a pinhole camera.
protected com.irurueta.algebra.Matrix	DLTPointCorrespondencePinholeCameraEstimator.internalEstimate(List<Point3D> points3D, List<Point2D> points2D)	Internal method that actually computes the normalized pinhole camera internal matrix.
protected abstract com.irurueta.algebra.Matrix	PointCorrespondencePinholeCameraEstimator.internalEstimate(List<Point3D> points3D, List<Point2D> points2D)	Internal method that actually computes the normalized pinhole camera internal matrix.
protected com.irurueta.algebra.Matrix	WeightedPointCorrespondencePinholeCameraEstimator.internalEstimate(List<Point3D> points3D, List<Point2D> points2D)	Internal method that actually computes the normalized pinhole camera internal matrix.
private List<Point2D>	PointCorrespondencePinholeCameraEstimator.transformPoints2D(List<Point2D> list, ProjectiveTransformation2D inverseTransformation)	Transforms 2D points so that they have zero mean and unitary standard deviation.
private List<Point3D>	PointCorrespondencePinholeCameraEstimator.transformPoints3D(List<Point3D> list, ProjectiveTransformation3D transformation)	Transforms 3D points so that they have zero mean and unitary standard deviation.