Multi-pose　face　recognition　always　subjects　to　the　limitation　of　training　set,　because　we　can＇t　get　adequate　face　samples　to　construct　the　face　pose　space　or　to　extract　effective　pose-robust　face　features.　In　this　paper,　a　novel　pose-invariant　face　recognition　algorithm　based　on　a　single　view　is　presented　assisted　by　3D　morphable　model.　First,　the　3D　face　is　reconstructed　from　a　frontal　face　image,　and　the　virtual　face　images　with　different　poses　can　be　generated　by　3D　face　projection　accordingly.　Then,　with　adequate　face　pose　samples,　we　construct　the　face　pose　space　for　each　individual,　and　extract　his　pose-invariant　face　common　features　for　recognition,　which　is　unique　compared　with　other　works.　The　experimental　results　tested　on　CMU-PIE　and　FERET　face　databases　are　promising,　and　demonstrate　our　method　is　robust　to　face　poses　to　a　certain　extent.　©　2010　Binary　Information　Press.