A　uniform　mesh　resampling　based　alignment　algorithm　is　proposed　to　align　prototypical　3D　faces.　This　algorithm　enables　us　to　achieve　aligning　of　3D　prototypes　based　on　facial　features.　It　is　free　of　the　weaknesses　of　conventional　ones　and　precision.　Improved　genetic　algorithm　based　model　matching　method　is　able　to　match　morphable　model　to　2D　facial　images　independently　of　initial　values　and　gradient　of　object　function,　and　is　capable　of　global　searching.　Regulation　of　crossover　and　mutation　probabilities　during　optimizing　process　effectively　improves　the　convergent　speed　and　precision　of　the　algorithm.　Experimental　results　show　that　this　novel　alignment　algorithm　effectively　applied　to　align　the　prototypes,　and　improves　precision　of　morphable　model.　The　novel　matching　method　effectively　improves　the　efficiency　and　precision　of　model　matching,　and　shortens　the　time　for　the　matching　process.