/// <summary>
/// Retourne le poids du classificateur si celui-ci vérifie
/// la fenêtre, 0 sinon.
/// </summary>
public double GetValue(Window Win, IntegralImage Image)
{
if (this.Check(Win, Image))
return this.Alpha;
else
return 0;
}
/// <summary>
/// Retourne true si le classificateur vérifie la fenêtre.
/// </summary>
public bool Check(Window Win, IntegralImage Image)
{
var featureValue = this.Feature.ComputeValue(Win.TopLeft, Win.SizeRatio, Image);
var sizedValue = (int) (featureValue / (Win.SizeRatio * Win.SizeRatio));
var normalizedValue = Features.NormalizeFeature(sizedValue, Win.Deviation);
return this.Parity * normalizedValue < this.Parity * this.Threshold;
}
/// <summary>
/// Retourne true si le classificateur vérifie la fenêtre.
/// La somme des poids des
/// </summary>
public bool Check(Window Win, IntegralImage Image)
{
double sumValues = 0.0;
foreach (var weakClassifier in this.Classifiers)
sumValues += weakClassifier.GetValue(Win, Image);
return sumValues >= this.GlobalAlpha / 2.0;
}