3D　scanned　technology　has　found　its　increasing　application　in　computer　animated　movie　and　game.　Due　to　the　over　density　of　scanned　data,　simplification　becomes　a　crucial　process.　Many　researches　have　been　done　in　mesh-based　(i.e.　triangulated　faces)　simplifications.　However,　few　are　focused　on　preserving　the　completeness　of　skeleton　semantic.　And　in　sharply　simplification　case,　the　losing　of　skeleton　semantic　can　cause　failure　of　skeleton　based　animation.　Due　to　those　problem　and　the　time　consuming　of　mesh　reconstruction,　algorithms　directly　based　on　point　cloud　has　gained　increasingly　concentrations.　This　paper　presents　a　simple　and　effective　algorithm　directly　based　on　point　cloud　which　could　satisfy　the　succeed　animation　requirement　when　reconstructed　from　simplification　data.　It　can　preserve　completeness　of　the　potential　skeleton　semantic　even　in　sharp　decrease　of　points　set　without　introducing　new　cracks　or　holes　to　the　model　when　reconstructed.　©　2011　IEEE.