▁in ▁terms ▁of ▁data . ▁The ▁FR GC ▁data ▁set ▁contains ▁ 5 0 , 0 0 0 ▁record ings . ▁The ▁second ▁aspect ▁is ▁the ▁complexity ▁of ▁the ▁FR GC . ▁Pre vious ▁face ▁recognition ▁data ▁sets ▁have ▁been ▁restricted ▁to ▁still ▁images . ▁The ▁FR GC ▁will ▁consist ▁of ▁three ▁modes : ▁ ▁high ▁resolution ▁still ▁images ▁▁ 3 D ▁images ▁ ▁multi - images ▁of ▁a ▁person . ▁ ▁The ▁third ▁new ▁aspect ▁is ▁the ▁infrastr ucture . ▁The ▁infrastr ucture ▁for ▁FR GC ▁will ▁be ▁provided ▁by ▁the ▁Bi ometric ▁Ex periment ation ▁Environment ▁( BE E ), ▁an ▁XML ▁based ▁framework ▁for ▁describing ▁and ▁document ing ▁computational ▁experiments . ▁The ▁B EE ▁will ▁allow ▁the ▁description ▁and ▁distribution ▁of ▁experiments ▁in ▁a ▁common ▁format , ▁recording ▁of ▁the ▁raw ▁results ▁of ▁an ▁experiment ▁in ▁a ▁common ▁format , ▁analysis ▁and ▁presentation ▁of ▁the ▁raw ▁results ▁in ▁a ▁common ▁format , ▁and ▁documentation ▁of ▁the ▁experiment ▁format ▁in ▁a ▁common ▁format . ▁This ▁is ▁the ▁first ▁time ▁that ▁a ▁computational - ex perimental ▁environment ▁has ▁supported ▁a ▁challenge ▁problem ▁in ▁face ▁recognition ▁or ▁bi omet rics . ▁ ▁The ▁FR GC ▁Data ▁Set ▁The ▁FR GC ▁data ▁distribution ▁consists ▁of ▁three ▁parts . ▁The ▁first ▁is ▁the ▁FR GC ▁data ▁set . ▁The ▁second ▁part ▁is ▁the ▁FR GC ▁B EE . ▁The ▁B EE ▁distribution ▁includes ▁all ▁the ▁data ▁sets ▁for ▁performing ▁and ▁scoring ▁the ▁six ▁experiments . ▁The ▁third ▁part ▁is ▁a ▁set ▁of ▁bas eline ▁algorithms