I am wondering if there is any downside to blacking out the target object when it appears in negative samples during Haar Cascades training.
Basically, If i want to detect a human nose. Can I just get lots of face images and black out the nose for the negative samples. I would then get lots of cropped pictures of the nose for positive samples.
I was wondering if there is a downside or problem with having lots of negative samples with the same non-nose feature e.g. a black rectangle. Is this going to train the cascade to expect a black rectangle in the negatives....????
Sorry if this questions seems naive but I have not done haar training before and the answer might help others who are investigating the training process...