The　objective　of　view　planning　in　a　visual　sensing　system　is　to　make　task-directed　decisions　for　optimal　sensing　pose　selection.　The　primary　focus　of　the　research　described　in　this　paper　is　to　propose　a　new　method　for　creating　a　complete　model　of　free-form　surface　object　from　multiple　range　images　acquired　by　a　scan　sensor　at　different　space　poses.　Using　the　view　sphere　to　limit　the　number　of　possible　sensor　positions,　the　candidates　for　the　next-best-view　(NBV)　position　are　easily　determined　by　detecting　and　measuring　occlusions　to　the　camera＇s　view　in　an　image.　Ultimately,　the　candidate　which　obtains　maximum　the　known　partial　modeling　boundary　integral　value　of　the　vector　fields　is　selected　as　the　next-best-view　position.　We　also　present　a　self-termination　criterion　for　judging　the　completion　condition　in　the　measurement　and　reconstruction　process.　The　termination　condition　is　derived　based　on　changes　in　the　volume　computed　from　two　successive　viewpoints.　The　experimental　results　show　that　the　method　is　effective　in　practical　implementation.