Automated 3D object reconstruction or inspection using a range camera requires a positioning system to configure sensor-object relative geometry in a sequence of poses defined by a computed view plan. Discrepancies between commanded and actual poses can result in scanning deficiencies. This paper presents a statistically-based method to mitigate pose error effects on a view plan for a common type of range sensor and a generic positioning system. The technique is generalizable to other sensor and positioning system types. |