org.ddogleg.fitting.modelset

Interface DistanceFromModel<Model,Point>

All Known Subinterfaces:

DistanceModelMonoPixels<Model,Point>, DistanceModelStereoPixels<Model,Point>

All Known Implementing Classes:

DistanceAffine2D, DistanceAffine2DSq, DistanceEpipolarConstraint, DistanceFromLine, DistanceFromMeanModel, DistanceFromModelResidual, DistanceFromModelResidualN, DistanceHomographyPixelSq, DistanceHomographySq, DistancePlane2DToPixelSq, DistanceScaleTranslate2DSq, DistanceScaleTranslateRotate2DSq, DistanceSe2Sq, DistanceSe3SymmetricSq, DistanceTranGivenRotSq, GridLineModelDistance, PnPDistanceReprojectionSq, PnPStereoDistanceReprojectionSq, RandomDistanceModel, TestRansac.DebugModelStuff

public interface DistanceFromModel<Model,Point>

Computes the distance a sample point is from the provided model.

Example: If the model is a rigid body transformation then there are 6 model parameters, 3 for rotation and 3 for translation. The sample point is the initial location of a point in 3D space before the transform has been applied and the observed location after the transform has been applied.

Method Summary

Modifier and Type	Method and Description
void	computeDistance(java.util.List<Point> points, double[] distance) Computes the distance a set of points is from the model and saves the results in the provided array.
double	computeDistance(Point pt) Computes the distance the point is from the model.
void	setModel(Model model) Sets the model parameters.

Method Detail

setModel

void setModel(Model model)

Sets the model parameters.

Parameters:

model - Model parameters.

computeDistance

double computeDistance(Point pt)

Computes the distance the point is from the model.

Parameters:

pt - Point being evaluated. Not modified.

Returns:

Distance the point is from the model.

computeDistance

void computeDistance(java.util.List<Point> points,
                     double[] distance)

Computes the distance a set of points is from the model and saves the results in the provided array.

Parameters:

points - Set of points which are to be evaluated.

distance - Where model distance is stored.