/// <summary>
/// Creating a matching object based on two sets of points.
/// </summary>
/// <param name="i_Source">2 x M1 points the first row is the X value, the second is the Y value</param>
/// <param name="i_Target">2 x M2 points the first row is the X value, the second is the Y value</param>
public PCAMatching(DoubleMatrix i_Source, DoubleMatrix i_Target)
{
if (i_Source.RowsCount != i_Target.RowsCount)
{
throw new PCAException("Cannot match between two sets with different dimensions");
}
m_SourceTransform = new PCAtransform(i_Source);
m_TargetTransform = new PCAtransform(i_Target);
}
private void normalize(PCAtransform i_SourceTransform, PCAtransform i_TargetTransform)
{
double angle = AngleFromSource;
double scaleByX = Math.Sqrt(i_SourceTransform.EigenValues[sr_X] / i_TargetTransform.EigenValues[sr_X]);
//Two options of taking scale factor of the axis:
//i_SourceTransform.AverageByDimension[sr_X, 0] / i_TargetTransform.AverageByDimension[sr_X, 0];
//i_SourceTransform.EigenValues[sr_X] / i_TargetTransform.EigenValues[sr_X];
double scaleByY = Math.Sqrt(i_SourceTransform.EigenValues[sr_Y] / i_TargetTransform.EigenValues[sr_Y]);
//Two options of taking scale factor of the axis:
//i_SourceTransform.AverageByDimension[sr_Y, 0] / i_TargetTransform.AverageByDimension[sr_Y, 0];
//i_SourceTransform.EigenValues[sr_Y] / i_TargetTransform.EigenValues[sr_Y];
m_ResultTarget = translate(i_TargetTransform.CenteredPoints, angle, scaleByX, scaleByY);
Utils.AddScalarsByDims(ref m_ResultTarget, i_SourceTransform.AverageByDimension);
DoubleMatrix sourcePoints = i_SourceTransform.CenteredPoints;
Utils.AddScalarsByDims(ref sourcePoints, i_SourceTransform.AverageByDimension);
}
/// <summary>
/// Creating a matching object based on two sets of points.
/// </summary>
/// <param name="i_Source">2 x M1 points the first row is the X value, the second is the Y value</param>
/// <param name="i_Target">2 x M2 points the first row is the X value, the second is the Y value</param>
public PCAMatching(DoubleMatrix i_Source, DoubleMatrix i_Target)
{
if (i_Source.RowsCount != i_Target.RowsCount)
{
throw new PCAException("Cannot match between two sets with different dimensions");
}
m_SourceTransform = new PCAtransform(i_Source);
m_TargetTransform = new PCAtransform(i_Target);
}
private void normalize(PCAtransform i_SourceTransform, PCAtransform i_TargetTransform)
{
double angle = AngleFromSource;
double scaleByX = Math.Sqrt(i_SourceTransform.EigenValues[sr_X] / i_TargetTransform.EigenValues[sr_X]);
//Two options of taking scale factor of the axis:
//i_SourceTransform.AverageByDimension[sr_X, 0] / i_TargetTransform.AverageByDimension[sr_X, 0];
//i_SourceTransform.EigenValues[sr_X] / i_TargetTransform.EigenValues[sr_X];
double scaleByY = Math.Sqrt(i_SourceTransform.EigenValues[sr_Y] / i_TargetTransform.EigenValues[sr_Y]);
//Two options of taking scale factor of the axis:
//i_SourceTransform.AverageByDimension[sr_Y, 0] / i_TargetTransform.AverageByDimension[sr_Y, 0];
//i_SourceTransform.EigenValues[sr_Y] / i_TargetTransform.EigenValues[sr_Y];
m_ResultTarget = translate(i_TargetTransform.CenteredPoints, angle, scaleByX, scaleByY);
Utils.AddScalarsByDims(ref m_ResultTarget, i_SourceTransform.AverageByDimension);
DoubleMatrix sourcePoints = i_SourceTransform.CenteredPoints;
Utils.AddScalarsByDims(ref sourcePoints, i_SourceTransform.AverageByDimension);
}