public void TestMean_EmptyList()
{
List <float> errors = new List <float>();
float expected = 0.0f;
float actual = AggregationMethods.Mean(errors);
Assert.That(actual, Is.EqualTo(expected).Within(tolerance));
}
public void TestMean_NormalList()
{
List <float> errors = new List <float> {
1, 2, 3, 4, 5.5f
};
float expected = 3.1f;
float actual = AggregationMethods.Mean(errors);
Assert.That(actual, Is.EqualTo(expected).Within(tolerance));
}
public float ComputeInitialError(CorrespondenceCollection correspondences)
{
Matrix4x4 normalizationMatrix = Matrix4x4.identity;
if (configuration.NormalizePoints)
{
normalizationMatrix = new PointNormalizer().ComputeNormalizationMatrix(correspondences.ModelPoints, correspondences.StaticPoints);
}
List <float> errors = ComputeCorrespondenceErrors(
normalizationMatrix,
modelPoints: correspondences.ModelPoints,
staticPoints: correspondences.StaticPoints
);
//Aggregate the errors, use mean to ensure that the number of correspondences does not influence the error
float error = AggregationMethods.Mean(errors);
return(error);
}
