In　this　paper,　we　develop　a　novel　3D　face　recognition　algorithm　based　on　Local　Binary　Pattern　(LBP)　representation　under　expression　varieties.　First,　to　enable　the　application　of　LBP　representation　framework,　a　special　feature-based　3D　face　division　scheme　is　proposed.　Then,　the　LBP　framework　for　3D　face　representation　is　described,　and　the　facial　depth　and　normal　information　are　extracted　and　encoded　by　LBP　operator,　to　weaken　the　expression　effect.　For　each　face　region,　the　statistical　histogram　is　utilized　to　represent　the　3D　face,　and　accordingly　three　matching　strategies　are　presented　to　address　the　recognition　task.　Finally,　We　test　the　proposed　3D　face　recognition　algorithm　on　BJUT-3D　database,　achieve　encouraging　results,　and　conclude　that　it　is　feasible　to　apply　the　LBP　framework　on　3D　face　recognition.