This might seem like a dumb question but,
I i have 3 sets of images for 3 people in my database, and my recognition values are between 1 and 400, with threshold set at 400, if i add a couple of more people in my database, would that decrease the chance of getting false positives?
Now i currently still get someone who completely does not look like any of the 3 persons at 330, and still classifies as a known person. If i add a more diverse training set, would that be taken into account in calculating Eigenvalues?
Thank you for reading.