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

Packages that use Model

Package	Description
org.openimaj.feature.local.matcher.consistent
org.openimaj.image.model
org.openimaj.image.model.patch
org.openimaj.image.model.pixel
org.openimaj.math.geometry.transforms
org.openimaj.math.geometry.transforms.check
org.openimaj.math.geometry.transforms.residuals
org.openimaj.math.model
org.openimaj.math.model.fit
org.openimaj.math.model.fit.residuals
org.openimaj.math.util.distance
org.openimaj.ml.linear.learner.perceptron
org.openimaj.ml.regression

Uses of Model in org.openimaj.feature.local.matcher.consistent

Methods in org.openimaj.feature.local.matcher.consistent that return Model

Modifier and Type	Method and Description
Model<Point2d,Point2d>	ConsistentLocalFeatureMatcher2d.getModel()
Model<Point2d,Point2d>	LocalConsistentKeypointMatcher.getModel()
Model<Point2d,Point2d>	ModelFittingLocalFeatureMatcher.getModel() Get the model that has been learned.

Uses of Model in org.openimaj.image.model

Subinterfaces of Model in org.openimaj.image.model

Modifier and Type	Interface and Description
interface	ImageClassificationModel<T extends Image<?,T>> An ImageClassificationModel is a EstimatableModel constructed between an generic image and a probability map in the form of an FImage.

Uses of Model in org.openimaj.image.model.patch

Classes in org.openimaj.image.model.patch that implement Model

Modifier and Type	Class and Description
class	HistogramPatchModel A MBFPatchClassificationModel that performs classification based on the joint (colour) histogram of the patch by comparing the patch histogram to a model histogram with a given comparison measure.
class	MBFPatchClassificationModel A base implementation of a PatchClassificationModel for MBFImages.
class	PatchClassificationModel<Q,T extends Image<Q,T>> An ImageClassificationModel based on the idea of determining the probability of a class of a pixel given the local patch of pixels surrounding the pixel in question.

Uses of Model in org.openimaj.image.model.pixel

Classes in org.openimaj.image.model.pixel that implement Model

Modifier and Type	Class and Description
class	HistogramPixelModel An MBFPixelClassificationModel that classifies an individual pixel by comparing it to a joint (colour) histogram.
class	MBFPixelClassificationModel An abstract PixelClassificationModel for MBFImages.
class	OrthotopePixelModel Model of an orthotope/hyperrectangle/box in space.
class	PixelClassificationModel<Q,T extends Image<Q,T>> Simple model for classifying pixels.
class	SingleGaussianPixelModel An MBFPixelClassificationModel that classifies an individual pixel by comparing it to a CachingMultivariateGaussian.

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

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

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 Model in org.openimaj.math.geometry.transforms.check

Classes in org.openimaj.math.geometry.transforms.check with type parameters of type Model

Modifier and Type	Class and Description
class	ConvexityCheck2D<M extends Model<Point2d,Point2d> & MatrixTransformProvider> Test that a 2d transform model preserves convexity
class	OrientationCheck2D<M extends Model<Point2d,Point2d> & MatrixTransformProvider> Test whether a given model that produces a homogenous transform is orientation preserving
class	TransformMatrixConditionCheck<M extends Model<?,?> & MatrixTransformProvider> A check for Models that produce transform matrices (via the MatrixTransformProvider) that tests whether the condition number is below a threshold.

Uses of Model in org.openimaj.math.geometry.transforms.residuals

Classes in org.openimaj.math.geometry.transforms.residuals with type parameters of type Model

Modifier and Type	Class and Description
class	AlgebraicResidual2d<M extends Model<Point2d,Point2d> & MatrixTransformProvider> Compute the algebraic residuals of points mapped by a 2d homogeneous transform (i.e.
class	SingleImageTransferResidual2d<M extends Model<Point2d,Point2d>> Compute the 2d geometric Single Image Transfer residual.
class	SymmetricTransferResidual2d<M extends Model<Point2d,Point2d> & MatrixTransformProvider> The points in the first image are projected by the homography matrix to produce new estimates of the second image points and the second image point projected by the inverse homography to produce estimates of the first.
class	TransformedSITR2d<M extends Model<Point2d,Point2d>> An implementation of a SingleImageTransferResidual2d that pre-transforms both sets of points by predetermined transforms.

Uses of Model in org.openimaj.math.model

Subinterfaces of Model in org.openimaj.math.model

Modifier and Type	Interface and Description
interface	EstimatableModel<I,D> An extension to a Model that allows the model to be estimated from a series of observations of both the independent and dependent variables.

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

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.

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

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

Modifier and Type	Interface and Description
interface	ModelFitting<I,D,M extends Model<I,D>> An interface that describes an object capable of fitting data to a model in a more generic way than through the Model's estimate method.
interface	RobustModelFitting<I,D,M extends Model<I,D>> RobustModelFitting is an interface for fitting models that are able to distinguish between inliers and outliers in the training data.

Uses of Model in org.openimaj.math.model.fit.residuals

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

Modifier and Type	Class and Description
class	AbstractResidualCalculator<I,D,M extends Model<I,D>>
class	DistanceComparatorResidual<I,D,M extends Model<I,D>> An implementation of a ResidualCalculator that uses a DistanceComparator to compute the error between the predicted and observed data point.
interface	ResidualCalculator<I,D,M extends Model<I,D>> Interface describing the computation of an error (the residuals) of a set of (independent and dependent) data points with respect to a model.

Fields in org.openimaj.math.model.fit.residuals declared as Model

Modifier and Type	Field and Description
protected M	AbstractResidualCalculator.model

Uses of Model in org.openimaj.math.util.distance

Methods in org.openimaj.math.util.distance that return Model

Modifier and Type	Method and Description
Model<Double,Boolean>	ModelDistanceCheck.getModel()

Constructors in org.openimaj.math.util.distance with parameters of type Model

Constructor and Description
ModelDistanceCheck(Model<Double,Boolean> model) Construct using the given model.

Uses of Model in org.openimaj.ml.linear.learner.perceptron

Classes in org.openimaj.ml.linear.learner.perceptron that implement Model

Modifier and Type	Class and Description
class	SimplePerceptron

Uses of Model in org.openimaj.ml.regression

Classes in org.openimaj.ml.regression that implement Model

Modifier and Type	Class and Description
class	LinearRegression Given a set of independant variables a linear regressions finds the optimal vector B such that: (Y - Xb)^2 = 0 (Y - Xb)^{T}(Y-Xb) = 0 calculated by assuming a convex shape of (Y - Xb) with varying values of b (reasonable as the function is linear) and then calculating the point at which the first derivative of this function is 0.