Uses of Class
com.irurueta.ar.slam.BaseCalibrationData
Packages that use BaseCalibrationData
Package
Description
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
This package contains classes related to SLAM (Simultaneous Localization and
Mapping) in order to predict the device position, orientation, velocity
and acceleration using sensors such as accelerometers and gyroscopes.
-
Uses of BaseCalibrationData in com.irurueta.ar.sfm
Classes in com.irurueta.ar.sfm with type parameters of type BaseCalibrationDataModifier and TypeClassDescriptionclass
BaseAbsoluteOrientationSlamPairedViewsSparseReconstructor<D extends BaseCalibrationData,
C extends BaseSlamPairedViewsSparseReconstructorConfiguration<D, C>, R extends BaseSlamPairedViewsSparseReconstructor<D, C, R, L, S>, L extends BaseSlamPairedViewsSparseReconstructorListener<R>, S extends AbsoluteOrientationBaseSlamEstimator<D>> 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.class
BaseAbsoluteOrientationSlamSparseReconstructor<D extends BaseCalibrationData,
C extends BaseSlamSparseReconstructorConfiguration<D, C>, R extends BaseSlamSparseReconstructor<D, C, R, L, S>, L extends BaseSlamSparseReconstructorListener<R>, S extends AbsoluteOrientationBaseSlamEstimator<D>> 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.class
BaseAbsoluteOrientationSlamTwoViewsSparseReconstructor<D extends BaseCalibrationData,
C extends BaseSlamTwoViewsSparseReconstructorConfiguration<D, C>, R extends BaseSlamTwoViewsSparseReconstructor<D, C, R, L, S>, L extends BaseSlamTwoViewsSparseReconstructorListener<R>, S extends AbsoluteOrientationBaseSlamEstimator<D>> 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.class
BaseSlamPairedViewsSparseReconstructor<D extends BaseCalibrationData,
C extends BaseSlamPairedViewsSparseReconstructorConfiguration<D, C>, R extends BaseSlamPairedViewsSparseReconstructor<D, C, R, L, S>, L extends BaseSlamPairedViewsSparseReconstructorListener<R>, S extends BaseSlamEstimator<D>> class
BaseSlamPairedViewsSparseReconstructorConfiguration<C extends BaseCalibrationData,
T extends BaseSlamPairedViewsSparseReconstructorConfiguration<C, T>> 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.class
BaseSlamSparseReconstructor<D extends BaseCalibrationData,
C extends BaseSlamSparseReconstructorConfiguration<D, C>, R extends BaseSlamSparseReconstructor<D, C, R, L, S>, L extends BaseSlamSparseReconstructorListener<R>, S extends BaseSlamEstimator<D>> 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.class
BaseSlamSparseReconstructorConfiguration<C extends BaseCalibrationData,
T extends BaseSlamSparseReconstructorConfiguration<C, T>> 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.class
BaseSlamTwoViewsSparseReconstructor<D extends BaseCalibrationData,
C extends BaseSlamTwoViewsSparseReconstructorConfiguration<D, C>, R extends BaseSlamTwoViewsSparseReconstructor<D, C, R, L, S>, L extends BaseSlamTwoViewsSparseReconstructorListener<R>, S extends BaseSlamEstimator<D>> 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.class
BaseSlamTwoViewsSparseReconstructorConfiguration<C extends BaseCalibrationData,
T extends BaseSlamTwoViewsSparseReconstructorConfiguration<C, T>> 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.Fields in com.irurueta.ar.sfm declared as BaseCalibrationDataModifier and TypeFieldDescriptionprivate C
BaseSlamPairedViewsSparseReconstructorConfiguration.calibrationData
Calibration data for accelerometer and gyroscope.private C
BaseSlamSparseReconstructorConfiguration.calibrationData
Calibration data for accelerometer and gyroscope.private C
BaseSlamTwoViewsSparseReconstructorConfiguration.calibrationData
Calibration data for accelerometer and gyroscope. -
Uses of BaseCalibrationData in com.irurueta.ar.slam
Classes in com.irurueta.ar.slam with type parameters of type BaseCalibrationDataModifier and TypeClassDescriptionclass
Base class for estimating mean and covariance of noise in control values when the system state is held constant (only noise is provided as control input).class
Base class to estimate position, velocity, acceleration and orientation of a device using sensor data such as accelerometers, gyroscopes and magnetic fields (to obtain absolute orientation).class
BaseSlamCalibrator<D extends BaseCalibrationData>
Base class for estimating mean and covariance of noise in control values when the system state is held constant (only noise is provided as control input).static interface
Listener for implementations of this class.class
BaseSlamEstimator<D extends BaseCalibrationData>
Base class to estimate position, velocity, acceleration and orientation of a device using sensor data such as accelerometers and gyroscopes.static interface
Listener for implementations of this class.Subclasses of BaseCalibrationData in com.irurueta.ar.slamModifier and TypeClassDescriptionclass
Contains control calibration data for an absolute orientation constant velocity model SLAM estimator during Kalman filtering prediction stage.class
Contains control calibration data for an absolute orientation SLAM estimator during Kalman filtering prediction stage.class
Contains control calibration data for constant velocity model SLAM estimator during Kalman filtering prediction stage.class
Contains control calibration data for a SLAM estimator during Kalman filtering prediction stage.Fields in com.irurueta.ar.slam declared as BaseCalibrationData