With　the　rapid　development　of　multimedia　and　network,　the　high-quality　human-computer　interfaces　are　required.　As　one　of　the　most　important　brunches　of　virtual　human　synthesis　technology,　3D　human　face　reconstruction　technology　has　been　greatly　developed　in　recent　30　years.　It　can　be　widely　used　in　the　area　of　virtual　reality　environment　such　as　virtual　presenter,　net　meeting,　videophone,　remote　education,　remote　medical　diagnosis,　movie　effects　and　games　etc.　Research　on　3D　face　reconstruction　has　the　great　value　in　both　theory　and　application.　This　dissertation　researched　some　key　problems　in　human　face　reconstruction,　such　as　3D　face　modeling,　and　texture　projection.　In　the　field　of　3D　human　face　reconstruction,　the　major　problem　is　how　to　construct　3D　face　models　correctly,　easily　and　quickly.　In　this　dissertation,　an　efficient　2D-to-3D　integrated　face　reconstruction　approach　is　introduced　to　reconstruct　a　personalized　3D　face　model　from　only　one　single　frontal　face　image.　This　approach　is　fully　automatic　and　the　speed　is　fast.　It　is　about　fifteen　times　faster　than　the　similar　methods.　This　technique　can　also　be　used　for　the　face　recognition　to　expand　the　training　data.　The　accuracy　of　face　recognition　is　significantly　improved,　while　the　algorithms　of　face　recognition　are　the　same.