Uses of Package
com.irurueta.ar.sfm

Packages that use com.irurueta.ar.sfm

Package	Description
com.irurueta.ar.sfm	This package contains classes related to Structure From Motion techniques in order to obtain 3D reconstructed data from matched points obtained when a camera moves

Classes in com.irurueta.ar.sfm used by com.irurueta.ar.sfm

Class	Description
AbsoluteOrientationConstantVelocityModelSlamPairedViewsSparseReconstructorConfiguration	Contains configuration for a paired view sparse re-constructor using SLAM (Simultaneous LocationAnd Mapping) to determine the scale of the scene (i.e. the baseline or separation between cameras) by fusing both camera data and data from sensors like an accelerometer or gyroscope.
AbsoluteOrientationConstantVelocityModelSlamPairedViewsSparseReconstructorListener	Listener to retrieve and store required data to compute a 3D reconstruction from sparse image point correspondences in multiple view pairs and using SLAM with absolute orientation and constant velocity model for scale and orientation estimation.
AbsoluteOrientationConstantVelocityModelSlamSparseReconstructorConfiguration	Contains configuration for a multiple view sparse re-constructor using SLAM (Simultaneous Location And Mapping) to determine the scale of the scene (i.e. the baseline or separation between cameras) by fusing both camera data and data from sensors like an accelerometer or gyroscope.
AbsoluteOrientationConstantVelocityModelSlamSparseReconstructorListener	Listener to retrieve and store required data to compute a 3D reconstruction from sparse image point correspondences in multiple views and using SLAM with absolute orientation and constant velocity model for scale and orientation estimation
AbsoluteOrientationConstantVelocityModelSlamTwoViewsSparseReconstructorConfiguration	Contains configuration for a two view sparse re-constructor using SLAM (Simultaneous Location And Mapping) to determine the scale of the scene (i.e. the baseline or separation between cameras) by fusing both camera data and data from sensors like an accelerometer or gyroscope.
AbsoluteOrientationConstantVelocityModelSlamTwoViewsSparseReconstructorListener	Listener to retrieve and store required data to compute a 3D reconstruction from sparse image point correspondences in two views and using SLAM with absolute orientation and constant velocity model for scale and orientation estimation.
AbsoluteOrientationSlamPairedViewsSparseReconstructorConfiguration	Contains configuration for a paired view sparse re-constructor using SLAM (Simultaneous Location And Mapping) to determine the scale of the scene (i.e. the baseline or separation between cameras) by fusing both camera data and data from sensors like accelerometer or gyroscope.
AbsoluteOrientationSlamPairedViewsSparseReconstructorListener	Listener to retrieve and store required data to compute 3D reconstruction from sparse image point correspondences in multiple views and using SLAM with absolute orientation for scale and orientation estimation.
AbsoluteOrientationSlamSparseReconstructorConfiguration	Contains configuration for a multiple view sparse re-constructor using SLAM (Simultaneous Location And Mapping) to determine the scale of the scene (i.e. the baseline or separation between cameras) by fusing both camera data and data from sensors like accelerometer or gyroscope.
AbsoluteOrientationSlamSparseReconstructorListener	Listener to retrieve and store required data to compute 3D reconstruction from sparse image point correspondences in multiple views and using SLAM with absolute orientation for scale and orientation estimation.
AbsoluteOrientationSlamTwoViewsSparseReconstructorConfiguration	Contains configuration for a two view sparse re-constructor using SLAM (Simultaneous Location And Mapping) to determine the scale of the scene (i.e. the baseline or separation between cameras) by fusing both camera data and data from sensors like an accelerometer or gyroscope.
AbsoluteOrientationSlamTwoViewsSparseReconstructorListener	Listener to retrieve and store required data to compute a 3D reconstruction from sparse image point correspondences in two views and using SLAM with absolute orientation for scale and orientation estimation.
BaseAbsoluteOrientationSlamPairedViewsSparseReconstructor	Base class in charge of estimating pairs of cameras and 3D reconstructed points from sparse image point correspondences in multiple view pairs and also in charge of estimating overall scene scale and absolute orientation by means of SLAM (Simultaneous Location And Mapping) using data obtained from sensors like accelerometers or gyroscopes.
BaseAbsoluteOrientationSlamSparseReconstructor	Base class in charge of estimating cameras and 3D reconstructed points from sparse image point correspondences in multiple views and also in charge of estimating overall scene scale and absolute orientation by means of SLAM (Simultaneous Location And Mapping) using data obtained from sensors like accelerometers or gyroscopes.
BaseAbsoluteOrientationSlamTwoViewsSparseReconstructor	Base class in charge of estimating cameras and 3D reconstructed points from sparse image point correspondences in two views and also in charge of estimating overall scene scale and absolute orientation by means of SLAM (Simultaneous Location And Mapping) using data obtained from sensors like accelerometers or gyroscopes.
BasePairedViewsSparseReconstructor	Base class in charge of estimating cameras and 3D reconstructed points from sparse image point correspondences in pairs of views.
BasePairedViewsSparseReconstructorConfiguration	Base class containing configuration for a paired view based sparse re-constructor.
BasePairedViewsSparseReconstructorListener	Listener to retrieve and store required data to compute a 3D reconstruction from sparse image point correspondences in multiple views.
BaseSlamPairedViewsSparseReconstructor
BaseSlamPairedViewsSparseReconstructorConfiguration	Contains base configuration for a paired view sparse re-constructor using SLAM (Simultaneous Location And Mapping) to determine the scale of the scene (i.e. the baseline or separation between cameras) by fusing both camera data and data from sensors like an accelerometer or gyroscope.
BaseSlamPairedViewsSparseReconstructorListener	Listener to retrieve and store required data to compute a 3D reconstruction from sparse image point correspondences in multiple views.
BaseSlamSparseReconstructor	Base class in charge of estimating cameras and 3D reconstructed points from sparse image point correspondences in multiple views and also in charge of estimating overall scene scale by means of SLAM (Simultaneous Location And Mapping) using data obtained from sensors like accelerometers or gyroscopes.
BaseSlamSparseReconstructorConfiguration	Contains base configuration for a multiple view sparse re-constructor using SLAM (Simultaneous Location And Mapping) to determine the scale of the scene (i.e. the baseline or separation between cameras) by fusing both camera data and data from sensors like an accelerometer or gyroscope.
BaseSlamSparseReconstructorListener	Listener to retrieve and store required data to compute a 3D reconstruction from sparse image point correspondences in multiple views.
BaseSlamTwoViewsSparseReconstructor	Base class in charge of estimating cameras and 3D reconstructed points from sparse image point correspondences in two views and also in charge of estimating overall scene scale by means of SLAM (Simultaneous Location And Mapping) using data obtained from sensors like accelerometers or gyroscopes.
BaseSlamTwoViewsSparseReconstructorConfiguration	Contains base configuration for a two view sparse re-constructor using SLAM (Simultaneous Location And Mapping) to determine the scale of the scene (i.e. the baseline or separation between cameras) by fusing both camera data and data from sensors like an accelerometer or gyroscope.
BaseSlamTwoViewsSparseReconstructorListener	Listener to retrieve and store required data to compute a 3D reconstruction from sparse image point correspondences in two views.
BaseSparseReconstructor	Base class in charge of estimating cameras and 3D reconstructed points from sparse image point correspondences for multiple views.
BaseSparseReconstructorConfiguration	Base class containing configuration for a sparse re-constructor supporting multiple views.
BaseSparseReconstructorListener	Listener to retrieve and store required data to compute a 3D reconstruction from sparse image point correspondences in multiple views.
BaseTwoViewsSparseReconstructor	Base class in charge of estimating cameras and 3D reconstructed points from sparse image point correspondences in two views.
BaseTwoViewsSparseReconstructorConfiguration	Base class containing configuration for a two view sparse re-constructor.
BaseTwoViewsSparseReconstructorListener	Listener to retrieve and store required data to compute a 3D reconstruction from sparse image point correspondences in two views.
ConstantVelocityModelSlamPairedViewsSparseReconstructorConfiguration	Contains configuration for a paired view sparse re-constructor using SLAM (Simultaneous Location And Mapping) to determine the scale of the scene (i.e. the baseline or separation between cameras) by fusing both camera data and data from sensors like and accelerometer or gyroscope.
ConstantVelocityModelSlamPairedViewsSparseReconstructorListener	Listener to retrieve and store required data to compute a 3D reconstruction from sparse image point correspondences in multiple view pairs and using SLAM with constant velocity model for scale estimation.
ConstantVelocityModelSlamSparseReconstructorConfiguration	Contains configuration for a two view sparse re-constructor using SLAM (Simultaneous Location And Mapping) to determine the scale of the scene (i.e. the baseline or separation between cameras) by fusing both camera data and data from sensors like an accelerometer or gyroscope.
ConstantVelocityModelSlamSparseReconstructorListener	Listener to retrieve and store required data to compute a 3D reconstruction from sparse image point correspondence in multiple views and using SLAM with constant velocity model for scale estimation.
ConstantVelocityModelSlamTwoViewsSparseReconstructorConfiguration	Contains configuration for a two view sparse re-constructor using SLAM (Simultaneous Location And Mapping) to determine the scale of the scene (i.e. the baseline or separation between cameras) by fusing both camera data and data from sensors like an accelerometer or gyroscope.
ConstantVelocityModelSlamTwoViewsSparseReconstructorListener	Listener to retrieve and store required data to compute a 3D reconstruction from sparse image point correspondence in two views and using SLAM with constant velocity model for scale estimation.
EstimatedCamera	Contains data of estimated camera.
EstimatedFundamentalMatrix	Contains data of estimated fundamental matrix.
InitialCamerasEstimationFailedException	Exception raised if initial cameras estimation fails.
InitialCamerasEstimator	Estimates initial cameras to initialize geometry in a metric stratum.
InitialCamerasEstimatorListener	Listener in charge of attending events for an InitialCamerasEstimator, such as when estimation starts or finishes.
InitialCamerasEstimatorMethod	Indicates method used for initial estimation of cameras.
KnownBaselineSparseReconstructorConfiguration	Contains configuration for a multiple view sparse re-constructor assuming that the initial baseline (separation between initial cameras) is known.
KnownBaselineSparseReconstructorListener	Listener to retrieve and store required data to compute a 3D reconstruction from sparse image point correspondences when baseline is known.
KnownBaselineTwoViewsSparseReconstructorConfiguration	Contains configuration for a two view sparse re-constructor assuming that the baseline (separation between cameras) is known.
KnownBaselineTwoViewsSparseReconstructorListener	Listener to retrieve and store required data to compute a 3D reconstruction from sparse image point correspondences in two views when baseline is known.
MatchedSamples	Contains data relating matched 2D points and their reconstructions.
PairedViewsSparseReconstructor	Class in charge of estimating pairs of cameras and 3D reconstruction points from sparse image point correspondences.
PairedViewsSparseReconstructorConfiguration	Contains configuration for a paired view sparse re-constructor.
PairedViewsSparseReconstructorListener	Listener to retrieve and and store required data to compute a 3D reconstruction from sparse image point correspondences.
PlanarBestFundamentalMatrixEstimatorAndReconstructor	This class takes matched pairs of 2D points corresponding to a planar scene, estimates an homography relating both sets of points, decomposes such homography induced by the 3D plane on the scene, and uses such decomposition to determine the best epipolar geometry (e.g. fundamental matrix) by using the essential matrix and provided intrinsic camera parameters on both views corresponding to both sets of points to reconstruct points and choose the solution that produces the largest amount of points located in front of both cameras.
PlanarBestFundamentalMatrixEstimatorAndReconstructorListener	Listener to be notified of events generated by a planar best fundamental matrix estimator and re-constructor.
Point3DTriangulationException	Raised if triangulation of 3D points fails for some reason (i.e. degenerate geometry, numerical instabilities, etc).
Point3DTriangulatorType	Type of 3D point triangulator.
PointColorData	Contains color information for a given point.
ReconstructedPoint3D	Contains data of a reconstructed 3D point.
ReconstructionException	Exception raised if a re-constructor fails or is cancelled.
RobustSinglePoint3DTriangulator	Abstract class for algorithms to robustly triangulate 3D points from matched 2D points and their corresponding cameras on several views.
RobustSinglePoint3DTriangulatorListener	Listener to be notified of events such as when triangulation starts, ends or when progress changes.
Sample2D	Contains data of a 2D point sample on a given view.
SinglePoint3DTriangulator	Base class to triangulate matched 2D points into a single 3D one by using 2D points correspondences on different views along with the corresponding cameras on each of those views.
SinglePoint3DTriangulatorListener	Handles events generated by a SinglePoint3DTriangulator.
SlamPairedViewsSparseReconstructorConfiguration	Contains configuration for a paired view sparse re-constructor using SLAM (Simultaneous Location And Mapping) to determine the scale of the scene (i.e. the baseline or separation between initial cameras) by fusing both camera data and data from sensors like an accelerometer or gyroscope.
SlamPairedViewsSparseReconstructorListener	Listener to retrieve and store required data to compute a 3D reconstruction from sparse image point correspondences in multiple view pairs and using SLAM for scale estimation.
SlamSparseReconstructorConfiguration	Contains configuration for a multiple view sparse re-constructor using SLAM (Simultaneous Location And Mapping) to determine the scale of the scene (i.e. the baseline or separation between initial cameras) by fusing both camera data and data from sensors like an accelerometer or gyroscope.
SlamSparseReconstructorListener	Listener to retrieve and store required data to compute a 3D reconstruction from sparse image point correspondences in multiple views and using SLAM for scale estimation.
SlamTwoViewsSparseReconstructorConfiguration	Contains configuration for a two view sparse re-constructor using SLAM (Simultaneous Location And Mapping) to determine the scale of the scene (i.e. the baseline or separation between cameras) by fusing both camera data and data from sensors like an accelerometer or gyroscope.
SlamTwoViewsSparseReconstructorListener	Listener to retrieve and store required data to compute a 3D reconstruction from sparse image point correspondences in two views and using SLAM for scale estimation.
SparseReconstructorConfiguration	Contains configuration for a multiple view sparse re-constructor.
SparseReconstructorListener	Listener to retrieve and store required data to compute a 3D reconstruction from sparse image point correspondences.
StructureFromMotionException	Base exception for all exceptions in the com.irurueta.ar.sfm package.
TwoViewsSparseReconstructorConfiguration	Contains configuration for a two view sparse re-constructor.
TwoViewsSparseReconstructorListener	Listener to retrieve and store required data to compute a 3D reconstruction from sparse image point correspondences in two views.