How face recognition algorithms works
Hi everybody!
Does somebody now where I can find an exaustive explanation of how the face recognition algorithms of opencv work? I'm developing a face recognizer and I would like to know which kind of features extractor and classifier the library use for all its methods. I've seen in the docs that the eigen method use a knn classifier, but for the fisher and lbp ones I didn't find anything.
Also does anybody know a good example for using a SVM as classifier in face recognition?
Thanks for the help!
for classification, none of them use knn or svm currently. just a plain nearest-neighbour search with L2(fisher,eigen) or CHI-SQR(lbp) distance.