Classification algorithm in face recognition methods

Kelvin
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I'm using some algorithms (eigenfaces, fisherfaces and LBPH) to perform face recognition using the opencv contrib modules.

Can someone explain to me what internal algorithms these methods use to perform the classification? (for example K-NN, etc)

Note: if it uses K-NN, what is the default value for K?

Thanks

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answered Sep 8 '16

berak
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all 3 algorithms are using a simple (1) Nearest Neighbour classification, like this:

for each image in trainset:
    if distance between train & test img is the smallest so far:
          keep best id & distance
return best id & distance

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Great. Thanks a lot @berak.

Kelvin (Sep 10 '16)edit

One more thing I forgot to ask. What distance measurement is used? It uses euclidean distance?

Kelvin (Oct 4 '16)edit

yes, exactly.

berak (Oct 4 '16)edit

Ok, thanks again @berak.

Kelvin (Oct 4 '16)edit

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Asked: Sep 8 '16

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Last updated: Sep 08 '16

Classification algorithm in face recognition methods edit savecancel