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Improving eigenvalues by adding negative training images

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.

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updated 2016-07-09 18:50:10 -0600

berak gravatar image

Improving eigenvalues eigenFaces by adding negative training images

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?EigenFaces?

Thank you for reading.

click to hide/show revision 3
retagged

updated 2016-07-09 18:52:14 -0600

berak gravatar image

Improving eigenFaces by adding negative training images

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 EigenFaces?

Thank you for reading.

Improving eigenFaces by adding negative training images

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 EigenFaces?

Thank you for reading.