▁for ▁experiments ▁ 1 ▁through ▁ 4 . ▁With ▁all ▁three ▁components , ▁it ▁is ▁possible ▁to ▁run ▁experiments ▁ 1 ▁through ▁ 4 , ▁from ▁processing ▁the ▁raw ▁images ▁to ▁producing ▁Rece iver ▁Oper ating ▁Character istics ▁( RO C s ). ▁ ▁The ▁data ▁for ▁FR GC ▁consists ▁of ▁ 5 0 , 0 0 0 ▁record ings ▁divided ▁into ▁training ▁and ▁validation ▁partitions . ▁The ▁training ▁partition ▁is ▁designed ▁for ▁training ▁algorithms ▁and ▁the ▁validation ▁partition ▁is ▁for ▁assess ing ▁performance ▁of ▁an ▁approach ▁in ▁a ▁labor atory ▁setting . ▁The ▁validation ▁partition ▁consists ▁of ▁data ▁from ▁ 4 , 0 0 3 ▁subject ▁sessions . ▁A ▁subject ▁session ▁is ▁the ▁set ▁of ▁all ▁images ▁of ▁a ▁person ▁taken ▁each ▁time ▁a ▁person ' s ▁bi ometric ▁data ▁is ▁collected ▁and ▁consists ▁of ▁four ▁controlled ▁still ▁images , ▁two ▁un control led ▁still ▁images , ▁and ▁one ▁three - dimensional ▁image . ▁The ▁controlled ▁images ▁were ▁taken ▁in ▁a ▁studio ▁setting , ▁are ▁full ▁front al ▁fa cial ▁images ▁taken ▁under ▁two ▁light ing ▁conditions ▁and ▁with ▁two ▁fa cial ▁expressions ▁( sm iling ▁and ▁neutral ). ▁The ▁un control led ▁images ▁were ▁taken ▁in ▁varying ▁ill um ination ▁conditions ; ▁e . g ., ▁hall ways , ▁at ri ums , ▁or ▁outside . ▁Each ▁set ▁of ▁un control led ▁images ▁contains ▁two ▁expressions , ▁sm iling ▁and ▁neutral . ▁The ▁ 3 D ▁image ▁was ▁taken ▁under ▁controlled ▁ill um ination ▁conditions . ▁The ▁ 3 D ▁images