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Actually what you do is creating a map of descriptors for each face you feed to the algorithm. Successively for each data reference a distance measurement is generated between the input image (new test image) and the existing database.
Distance = 0 means an exact match. Large values mean that there is almost no match between both.
However, even if two images of the exact person are matched, different lighting conditions can actually create a large distance. From application to application you have to define which distance threshold to use for accepting a match.
