Sensor　planning　is　a　critical　issue　since　a　typical　3-D　sensor　can　only　sample　a　portion　of　an　object　at　a　single　viewpoint.　The　primary　focus　of　the　research　described　in　this　paper　is　to　propose　a　new　method　of　creating　a　complete　model　of　free-form　surface　object　from　multiple　range　images　acquired　by　a　scan　sensor　at　different　space　poses.　Candidates　for　the　next　best　view　position　are　determined　by　detecting　and　measuring　occlusions　to　the　camera＇s　view　in　an　image.　Ultimately,　the　candidate　which　obtains　maximum　line　integral　value　of　the　vector　fields　is　selected　as　the　Next-best-view　position.　The　experimental　results　show　that　the　method　is　effective　in　practical　implementation.