Uses of Interface
org.openimaj.math.model.EstimatableModel

Packages that use EstimatableModel

Package	Description
org.openimaj.math.geometry.transforms
org.openimaj.math.model
org.openimaj.math.model.fit

Uses of EstimatableModel in org.openimaj.math.geometry.transforms

Classes in org.openimaj.math.geometry.transforms that implement EstimatableModel

Modifier and Type	Class and Description
class	AffineTransformModel Concrete implementation of a model of an Affine transform.
class	AffineTransformModel3d Concrete implementation of a model of an Affine transform.
class	FundamentalModel Implementation of a Fundamental matrix model that estimates the epipolar geometry.
class	HomographyModel Implementation of a Homogeneous Homography model - a transform that models the relationship between planes under projective constraints (8 D.o.F)
class	NullModel<T> A NullModel models a one-to-one mapping of data.
class	RigidTransformModel3d Concrete implementation of a model of a 3D rigid transform with only rotation and translation allowed.

Uses of EstimatableModel in org.openimaj.math.model

Classes in org.openimaj.math.model that implement EstimatableModel

Modifier and Type	Class and Description
class	GaussianVectorNaiveBayesModel<T> An implementation of a EstimatableModel that uses a VectorNaiveBayesCategorizer to associate vectors (actually double[]) with a category based on the naive bayes model.
class	LeastSquaresLinearModel Model of mapping between pairs of integers learned from a least-squares regression.
class	UnivariateGaussianNaiveBayesModel<T> An implementation of a EstimatableModel that uses a VectorNaiveBayesCategorizer to associate a univariate (a Double) with a category.

Methods in org.openimaj.math.model that return EstimatableModel

Modifier and Type	Method and Description
EstimatableModel<I,D>	EstimatableModel.clone() Clone the model

Uses of EstimatableModel in org.openimaj.math.model.fit

Classes in org.openimaj.math.model.fit with type parameters of type EstimatableModel

Modifier and Type	Class and Description
class	LMedS<I,D,M extends EstimatableModel<I,D>> Least Median of Squares robust model fitting
class	RANSAC<I,D,M extends EstimatableModel<I,D>> The RANSAC Algorithm (RANdom SAmple Consensus)
class	SimpleModelFitting<I,D,M extends EstimatableModel<I,D>> Example robust fitting, that simply wraps the models estimate method.

Fields in org.openimaj.math.model.fit declared as EstimatableModel

Modifier and Type	Field and Description
protected M	LMedS.bestModel
protected M	RANSAC.model
protected M	LMedS.model

Methods in org.openimaj.math.model.fit with parameters of type EstimatableModel

Modifier and Type	Method and Description
boolean	RANSAC.StoppingCondition.init(List<?> data, EstimatableModel<?,?> model) Initialise the stopping condition if necessary.
boolean	RANSAC.NumberInliersStoppingCondition.init(List<?> data, EstimatableModel<?,?> model)
boolean	RANSAC.PercentageInliersStoppingCondition.init(List<?> data, EstimatableModel<?,?> model)
boolean	RANSAC.ProbabilisticMinInliersStoppingCondition.init(List<?> data, EstimatableModel<?,?> model)
boolean	RANSAC.BestFitStoppingCondition.init(List<?> data, EstimatableModel<?,?> model)