1 | initial version |
"I would like to combined with Eigenvalues face recognition"
that's already the case. fisherfaces are an extension of eigenfaces ( additional LDA )
"what is best in pictures sizes of images and file types ?"
stick with .png or .pgm, avoid jpg. resize to like 100x100.
"I keep getting false predictions"
make sure, that you're using exactly the same preprocessing for your train and test images. if your test-images are cropped from a cascade face detection, your train images should be, too. applying equalizeHist() should give some gain, too.
you'll need like 10-30 images per person. allow some variation in pose / lighting
try the LBPH face recognizer, too.
2 | No.2 Revision |
"I would like to combined with Eigenvalues face recognition"
that's already the case. fisherfaces are an extension of eigenfaces ( additional LDA )
"what is best in pictures sizes of images and file types ?"
stick with .png or .pgm, avoid jpg. resize to like 100x100.
"I keep getting false predictions"
make sure, that you're using exactly the same preprocessing for your train and test images. if your test-images are cropped from a cascade face detection, your train images should be, too. applying equalizeHist() should give some gain, too.
you'll need like 10-30 images per person. allow some variation in pose / lighting
try the LBPH face recognizer, too.
try to control the lighting in the room. if there's a lamp, that ppl can switch on or off; - one half of the pics will be with lamp, and the other without, - remove it ;)