org.ddogleg.fitting.modelset

Interface ModelGenerator<Model,Point>

All Known Implementing Classes:

DoNothingModelFitter, EstimatorToGenerator, GenerateAffine2D, GenerateEpipolarMatrix, GenerateHomographyLinear, GenerateMotionPnP, GenerateScaleTranslate2D, GenerateScaleTranslateRotate2D, GenerateSe2_AssociatedPair, GenerateSe2_PlanePtPixel, GridLineModelFitter, LineGenerator, MeanModelFitter, Se3FromEssentialGenerator, TestRansac.DebugModelStuff

public interface ModelGenerator<Model,Point>

Given a set of points create a model hypothesis. In most applications just a single hypothesis will be generated. In SFM applications geometric ambiguities can cause multiple hypotheses to be created.

Method Summary

Modifier and Type	Method and Description
boolean	generate(java.util.List<Point> dataSet, Model output) Creates a list of hypotheses from the set of sample points.
int	getMinimumPoints() The minimum number of points required to fit a data set

Method Detail

generate

boolean generate(java.util.List<Point> dataSet,
                 Model output)

Creates a list of hypotheses from the set of sample points.

Parameters:

dataSet - Set of sample points. Typically the minimum number possible.

output - Storage for generated model.

Returns:

true if a model was generated, otherwise false is none were

getMinimumPoints

int getMinimumPoints()

The minimum number of points required to fit a data set

Returns:

Number of points.