public bool Classify(IntegralImage2 image, int x, int y, double factor)
{
double value = 0;
// For each feature in the feature tree of the current stage,
foreach (HaarFeatureNode[] tree in Trees)
{
int current = 0;
do
{
// Get the feature node from the tree
HaarFeatureNode node = tree[current];
// Evaluate the node's feature
double sum = node.Feature.GetSum(image, x, y);
// And increase the value accumulator
if (sum < node.Threshold * factor)
{
value += node.LeftValue;
current = node.LeftNodeIndex;
}
else
{
value += node.RightValue;
current = node.RightNodeIndex;
}
} while (current > 0);
// Stop early if we have already surpassed the stage threshold value.
//if (value > this.Threshold) return true;
}
// After we have evaluated the output for the
// current stage, we will check if the value
// is still lesser than the stage threshold.
if (value < this.Threshold)
{
// If it is, the stage has rejected the current
// image and it doesn't contains our object.
return false;
}
else
{
// The stage has accepted the current image
return true;
}
}
