Uses of Package
com.irurueta.ar.calibration.estimators
Packages that use com.irurueta.ar.calibration.estimators
Package
Description
This package contains classes used for camera calibration on 3D
reconstruction
This package contains classes needed to estimate structures needed for camera
calibration
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Classes in com.irurueta.ar.calibration.estimators used by com.irurueta.ar.calibrationClassDescriptionThis is an abstract class for algorithms to robustly find the best ImageOfAbsoluteConic (IAC) for provided collection of 2D homographies.Listener to be notified of events such as when estimation starts, ends or when progress changesThis is an abstract class for algorithms to robustly find the best RadialDistortion for provided collections of matched distorted and undistorted 2D points.Listener to be notified of events such as when estimation starts, ends or when progress changes.
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Classes in com.irurueta.ar.calibration.estimators used by com.irurueta.ar.calibration.estimatorsClassDescriptionBase class for calibration estimators.This class defines the interface for an estimator of the Dual Absolute Quadric (DAQ) assuming equal vertical and horizontal focal length, no skewness and principal point at the center of the image.Thrown when DAQ estimation fails.Listener to be notified when estimation starts, finishes or any progress changes.Defines types of Dual Absolute Quadric estimators depending on their algorithm of implementation.This is an abstract class for algorithms to robustly find the best DualAbsoluteQuadric (DAQ) for provided collection of cameras.Listener to be notified of events such as when estimation starts, ends or when progress changes.This class defines the interface for an estimator of the Image of Absolute Conic (IAC).Thrown when IAC estimation fails.Listener to be notified when estimation starts, finishes or any progress changesImage of Absolute Conic (IAC) estimator types.This is an abstract class for algorithms to robustly find the best ImageOfAbsoluteConic (IAC) for provided collection of 2D homographies.Listener to be notified of events such as when estimation starts, ends or when progress changesEstimates the DIAC (Dual Image of Absolute Conic) by solving Kruppa's equations and assuming known principal point and zero skewness.Thrown when DIAC estimation fails.Listener to be notified when estimation starts, finishes or any progress changes.Implementation of a Dual Absolute Quadric estimator using an LMSE (Least Mean Squared Error) solution for provided pinhole cameras.This class defines an LMSE (the Least Mean Square Error) estimator of Image of Absolute Conic (IAC).This class defines the interface for an estimator of radial distortionThrown when radial distortion estimation fails.Listener to be notified when estimation starts, finishes or any progress changesDefines types of radial distortion estimators depending on their implementation.This is an abstract class for algorithms to robustly find the best RadialDistortion for provided collections of matched distorted and undistorted 2D points.Listener to be notified of events such as when estimation starts, ends or when progress changes.This class estimate intrinsic and extrinsic (rotation and camera center) parameters of a camera by using provided homography.Thrown when camera estimation fails.Listener to be notified when estimation starts or finishes.