▁in ▁making ▁progress ▁on ▁meeting ▁the ▁new ▁performance ▁goals . ▁ ▁There ▁are ▁three ▁main ▁cont enders ▁for ▁impro ving ▁face ▁recognition ▁algorithms : ▁high ▁resolution ▁images , ▁three - dimensional ▁( 3 D ) ▁face ▁recognition , ▁and ▁new ▁pre processing ▁techniques . ▁The ▁FR GC ▁is ▁simultaneously ▁purs uing ▁and ▁will ▁assess ▁the ▁mer it ▁of ▁all ▁three ▁techniques . ▁Current ▁face ▁recognition ▁systems ▁are ▁designed ▁to ▁work ▁on ▁relatively ▁small ▁still ▁fa cial ▁images . ▁The ▁traditional ▁method ▁for ▁meas uring ▁the ▁size ▁of ▁a ▁face ▁is ▁the ▁number ▁of ▁pixels ▁between ▁the ▁cent ers ▁of ▁the ▁eyes . ▁In ▁current ▁images ▁there ▁are ▁ 4 0 ▁to ▁ 6 0 ▁pixels ▁between ▁the ▁cent ers ▁of ▁the ▁eyes ▁( 1 0 , 0 0 0 ▁to ▁ 2 0 , 0 0 0 ▁pixels ▁on ▁the ▁face ). ▁In ▁the ▁FR GC , ▁high ▁resolution ▁images ▁consist ▁of ▁fa cial ▁images ▁with ▁ 2 5 0 ▁pixels ▁between ▁the ▁cent ers ▁of ▁the ▁eyes ▁on ▁average . ▁The ▁FR GC ▁will ▁facil itate ▁the ▁development ▁of ▁new ▁algorithms ▁that ▁take ▁advantage ▁of ▁the ▁additional ▁information ▁inher ent ▁in ▁high ▁resolution ▁images . ▁ ▁Three - dimensional ▁( 3 D ) ▁face ▁recognition ▁algorithms ▁identify ▁faces ▁from ▁the ▁ 3 D ▁shape ▁of ▁a ▁person ' s ▁face . ▁In ▁current ▁face ▁recognition ▁systems , ▁changes ▁in ▁light ing ▁( ill um ination ) ▁and ▁pose ▁of ▁the ▁face ▁reduce ▁performance . ▁Because ▁the ▁shape ▁of ▁faces ▁is ▁not ▁affected