Fisherface　is　enhanced　in　this　paper　for　face　recognition　from　one　example　image　per　person.　Fisherface　requires　several　training　images　for　each　face　and　can　hardly　be　applied　to　applications　where　only　one　example　image　per　person　is　available　for　training.　We　enhance　Fisherface　by　utilizing　morphable　model　to　derive　multiple　images　of　a　face　from　one　single　image.　Region　filling　and　hidden-surface　removal　method　are　used　to　generate　virtual　example　images.　Experimental　results　on　ORL　and　UMIST　face　database　show　that　our　method　makes　impressive　performance　improvement　compared　with　conventional　Eigenface　methods.