Documentation of 'boofcv.alg.geo.calibration.Zhang99OptimizationFunction' Java class
Zhang99OptimizationFunction
boofcv.alg.geo.calibration

Class Zhang99OptimizationFunction

  • All Implemented Interfaces:
    FunctionNtoM


    public class Zhang99OptimizationFunction
    extends java.lang.Object
    implements FunctionNtoM
    Function for performing non-linear optimization on the Zhang99 calibration parameters.
    • Constructor Detail

      • Zhang99OptimizationFunction

        public Zhang99OptimizationFunction(Zhang99ParamAll param,
                                           java.util.List<Point2D_F64> grid,
                                           java.util.List<CalibrationObservation> observations)
        Configurations the optimization function.
        Parameters:
        param - Storage for calibration parameters. Effectively specifies the number of target views and radial terms
        grid - Location of points on the calibration grid. z=0
        observations - calibration point observation pixel coordinates
    • Method Detail

      • getNumOfInputsN

        public int getNumOfInputsN()
        Description copied from interface: FunctionNtoM
        Number of input elements. Typically the parameters you are optimizing.
        Specified by:
        getNumOfInputsN in interface FunctionNtoM
        Returns:
        number of input elements
      • getNumOfOutputsM

        public int getNumOfOutputsM()
        Description copied from interface: FunctionNtoM
        Number of output elements. Typically the functions that are being optimized.
        Specified by:
        getNumOfOutputsM in interface FunctionNtoM
        Returns:
        number of output elements
      • process

        public void process(double[] input,
                            double[] output)
        Description copied from interface: FunctionNtoM
        Processes the input to compute the values found in the output array. The output's meaning depends on the application. For least-squares it is the residual error. See UnconstrainedLeastSquares.

        The user can modify the input parameters here and the optimizer must use those changes.

        Specified by:
        process in interface FunctionNtoM
        Parameters:
        input - Parameters for input model.
        output - Storage for the output give the model.
      • process

        public void process(Zhang99ParamAll param,
                            double[] residuals)

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