A　novel　model　matching　method　based　on　improved　genetic　algorithm　is　presented　in　this　paper　to　improve　efficiency　of　matching　process　for　3D　face　synthesis.　New　method　is　independent　from　initial　values　and　more　robust　than　stochastic　gradient　descent　method.　Improved　genetic　algorithm　has　strong　global　searching　ability.　Crossover　and　mutation　probability　are　regulated　during　optimization　process　to　improve　precision　and　convergence　speed　of　the　algorithm.　Experimental　results　show　our　new　model　matching　method　has　good　performance　on　3D　face　synthesis.　©　2005　by　International　Federation　for　Information　Processing.