how can face recognize with one sample per object

asked 2015-06-04 10:06:36 -0600

muc gravatar image

to implement fisher and eigenface algoritm need to have more than 2 sample for one image in database. Which algorithm is suitable for a sample؟

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If you want to do a recognition of one object in another image, then you shall start with this. If you have more than one image per class than you need some kind of classifier/recognizer; but I have not seen a recognizer based on one sample per class.

thdrksdfthmn gravatar imagethdrksdfthmn ( 2015-06-04 10:20:46 -0600 )edit

just to scare you a bit: ;)

berak gravatar imageberak ( 2015-06-04 11:35:51 -0600 )edit

we have only 1 examples of each face. may create multiple copies of a photo Which are different in terms of brightness and angle,(3D Morphabe) , for use fisherface algorithm.

muc gravatar imagemuc ( 2015-06-04 11:40:39 -0600 )edit

That will not work ... generating artificial data for making a classifier that should then work in actual applications is the worst possible approach I see people doing in academic research!

StevenPuttemans gravatar imageStevenPuttemans ( 2015-06-05 03:54:47 -0600 )edit

@jal, please realize, that you picked a real hard problem , and that you won't get away without investing a significant amount of work here.

e.g. you need lighting normalization anyway, so artificially changing the illumination won't give any win. even if you flip() the image, you do not get a real new one, though it is done often to augment the input data, the gain is very low.

with only one img per person, you just can't do a identification (one img against a database), you probably have to do a verification (same, not-same test) , which is exponentially harder to do. please look again at the lfw link above, to roughly estimate the cost of your project..

berak gravatar imageberak ( 2015-06-05 04:10:34 -0600 )edit