The calibration of a range camera greatly influences the whole 3D acquisition and modeling process, allowing to
minimize the equipment inaccuracy. However, depending on the range camera "openness", we might have systems precalibrated
only once by the industrial manufacturer or systems requiring a regular (and mandatory) end-user calibration
before any scan session. Independently of the calibration approach, the metrological system characterization represents a
point of paramount importance for making the user aware of the actual performances of his equipment. This permits the
choice of appropriate resolution in 3D scan planning and allows to properly interpret the feedback indices during the
alignment of several range maps trough Iterative Closest Point (ICP). Finally, in polygonal model editing, the
modification of geometrical features is greatly helped by the awareness about the 3D capturing device performances.
These remarks are effective for both triangulation based instruments, like Minolta Vivid 910, ShapeGrabber SG100 and
SG1000 evaluated in this paper, or TOF based instruments. The proposed experimental method is based on post
processing of the range data produced by acquiring the surface of a precise test object with a 3D laser scanner. In this
procedure resolution, accuracy, and precision parameters are obtained sequentially, through the application of a set of
simple geometric processing steps. Such operating easiness make this approach a possible candidate as a mandatory step
in any 3D acquisition and modeling project.