The　traditional　craniofacial　reconstruction　methods　construct　the　face　shape　according　to　the　soft　tissue　thickness　measured　at　a　sparse　set　of　landmarks　on　the　skull.　But　the　landmarks　are　difficult　to　detect　and　generally　need　human　interactive　assistance.　The　quantity　and　position　of　the　landmarks　lack　for　uniform　definition.　We　propose　an　automatic　craniofacial　reconstruction　method　based　on　a　dense　deformable　model.　To　construct　the　model,　hundreds　of　skull　and　face　samples　are　acquired　by　CT　scanner.　A　dense　mesh　registration　algorithm　is　proposed　to　build　the　point-to-point　correspondences　of　the　samples.　Based　on　the　aligned　samples,　the　deformable　model　is　constructed.　For　a　given　skull,　the　reconstructed　face　is　obtained　by　a　model　matching　procedure.　Experimental　results　indicate　that　the　deformable　model　has　good　performance　for　craniofacial　reconstruction.