Non-rigid　registration　of　3D　facial　surfaces　is　a　crucial　step　in　a　variety　of　computer　vision　tasks.　In　this　paper,　we　present　a　fully　automatic　3D　face　registration　method　based　on　the　thin　plate　spline　(TPS)　and　deformable　model.　To　model　the　non-rigid　modality　of　complex　3D　facial　surfaces,　the　thin　plate　spline　is　adopted　to　represent　the　transformation　between　3D　faces.　The　farthest　point　sampling　(FPS)　method　is　used　to　generate　the　control　points　for　the　thin　plate　spline　transformation　automatically.　There　are　two　phases　for　3D　face　registration.　Firstly,　the　preliminary　registration　is　obtained　by　closest　points　searching　between　the　thin　plate　spline　transformed　reference　and　the　target.　Then　the　multi-sample　registration　is　implemented　to　improve　the　precision　of　the　registration　by　using　a　dynamical　reference　produced　based　on　deformable　model.　To　eliminate　outliers　countermeasures　are　presented　in　both　phases.　The　experiments　on　Bu-3dfe　and　Bjut-3d　face　databases　show　that　the　proposed　method　is　effective　and　robust.