In order to get whole shape of an object, lots of parts of 3D images need to be captured from multiple views and aligned
into a same 3D coordinate. That usually involves in both complex software process and expensive hardware system. In
this paper, a shortcut approach is proposed to align 3D images captured from multiple views. Employing only a
calibrated turntable, a single-view 3D camera can capture a sequence of 3D images of an object from different view
angle one by one, then align them quickly and automatically. The alignment doesn't need any help from the operator. It
can achieve good performances such as high accuracy, robust, rapidly capturing and low cost. The turntable calibration
can be easily implemented by the single-view 3D camera. Fixed with the turntable, single-view 3D camera can calibrate
the revolving-axis of the turntable just by measuring the positions of a little calibration-ball revolving with the turntable
at several angles. Then system can get the coordinate transformation formula between multiple views of different
revolving angle by a LMS algorithm. The formulae for calibration and alignment are given with the precision analysis.
Experiments were performed and showed effective result to recover 3D objects.