In　order　to　construct　normalized　3D　face　database　which　knowledge-based　morphable　model　requires,　a　texture　map　based　on　data　structure　and　a　point-based　segmentation　method　for　3D　face　are　presented.　This　structure　represents　explicitly　the　implied　information　of　original　data,　and　constructs　bidirectional-mapping　between　the　separated　sampling　points　and　texture　of　the　real　3D　faces　scanned　by　laser　scanner.　So　it　can　ensure　that　the　two　parts　of　data　are　processed　synchronously　and　real-time.　Using　rapid　mapping　feature　of　this　data　structure,　the　presented　segmentation　method　can　process　plenty　of　original　data　rapidly.