In　this　paper,　we　present　several　improvements　on　the　conventional　morphable　model.　Despite　having　realistic　results　and　modeling　automatically　in　3D　face　synthesis,　the　model　construction　depends　on　the　unstable　optical　flow　algorithm;　the　model　is　not　fitting　for　complex　illumination　and　the　model　matching　procedure　is　time　consuming.　To　improve　the　morpahble　model　for　3D　face　synthesis,　several　measures　are　taken　in　this　work.　Firstly,　the　mesh　resampling　method　is　used　to　overcome　the　key　problem　of　model　construction,　the　pixel-to-pixel　alignments　of　prototypic　faces.　Secondly,　based　on　the　mesh　resampling　data　we　construct　a　multi-resolution　model　to　accelerate　the　model　matching　procedure　and　improve　the　stanbility　of　matching　convergence.　Thirdly,　a　multi-lights　model　is　proposed　to　evaluate　or　simulate　the　illumination　of　the　input　facial　image.　The　experimental　results　show　that　these　improvements　of　the　morphable　model　have　good　performance　in　3D　face　synthesis.