Uses of Package
org.ddogleg.fitting.modelset

Packages that use org.ddogleg.fitting.modelset

Package	Description
org.ddogleg.fitting.modelset
org.ddogleg.fitting.modelset.distance
org.ddogleg.fitting.modelset.lmeds
org.ddogleg.fitting.modelset.ransac

Classes in org.ddogleg.fitting.modelset used by org.ddogleg.fitting.modelset

Class	Description
ModelGenerator	Given a set of points create a model hypothesis.
ModelManager	Can be used to create new instances of a model and copy the value of one model into another
ModelMatcher	Given a set of points and it finds a set of model parameters which fit the data robustly.

Classes in org.ddogleg.fitting.modelset used by org.ddogleg.fitting.modelset.distance

Class	Description
DistanceFromModel	Computes the distance a sample point is from the provided model.
ModelCodec	Used to convert a model to and from an array parameterized format.
ModelGenerator	Given a set of points create a model hypothesis.
ModelManager	Can be used to create new instances of a model and copy the value of one model into another
ModelMatcher	Given a set of points and it finds a set of model parameters which fit the data robustly.

Classes in org.ddogleg.fitting.modelset used by org.ddogleg.fitting.modelset.lmeds

Class	Description
InlierFraction	Specifies inlier set as a fraction
ModelGenerator	Given a set of points create a model hypothesis.
ModelManager	Can be used to create new instances of a model and copy the value of one model into another
ModelMatcher	Given a set of points and it finds a set of model parameters which fit the data robustly.
ModelMatcherPost	Extension of ModelMatcher where the models are specified after construction.

Classes in org.ddogleg.fitting.modelset used by org.ddogleg.fitting.modelset.ransac

Class	Description
DistanceFromModel	Computes the distance a sample point is from the provided model.
InlierThreshold	Specifies a fit threshold for an inlier set based upon a maximum allowed error
ModelGenerator	Given a set of points create a model hypothesis.
ModelManager	Can be used to create new instances of a model and copy the value of one model into another
ModelMatcher	Given a set of points and it finds a set of model parameters which fit the data robustly.
ModelMatcherMulti	Given a set of points and a set of models, it selects which model and model parameters best fits the points robustly.
ModelMatcherPost	Extension of ModelMatcher where the models are specified after construction.