Human　body　scanning　technology　has　a　promising　application　in　many　fields　such　as　anthropometric　surveys,clothing　design.　Due　to　the　properties　of　surface　(e.g.　parallel　to　camera,　occlude,　reflectance)　cause　holes　or　gaps　on　the　Human　Body　scanned(HBS)　data　(e.g.　corst,　top　of　head)　which　challenged　the　HBS　data　in　applications.　Since　scanned　data　usually　got　noise　points　near　the　hole　or　on　the　edge,　the　result　of　typical　boundary　edge　based　filling-hole　strategy　is　tend　to　be　affected　by　the　noise　points.　And　the　muti-times-scanned　method　of　filling　hole　will　encoutered　with　high　cost　both　of　time　and　labor　consume.　This　paper　presents　a　filling　hole　strategy　based　on　point　cloud　for　HBS　data.　The　alogrithm　is　free　from　identification　and　triangulation　process　which　is　more　simply　and　effiectively　with　less　time　costs　and　the　method　is　immune　to　affection　of　the　noise　points　near　boundary　of　the　holes　in　constrat　to　the　typtical　hole　filling　alogthms.