A method of data registration for 3D point clouds combining with motion capture technologies

Abstract

Data Registration is one of the key techniques in 3D scanning. The traditional methods for data registration have some disadvantages which always need many calibration markers or other accessories. Those will greatly reduce the convenience and usability for the scanning systems, and more markers will covered the limited useful surface of the measured object. This paper proposed a new method to overcome these shortcomings. In the method, the 3D scanner and the motion capture device, which have completely different elements, are effectively combined as a whole system. The position and posture of the measured object can be optionally changed as wish. Mocap system guides the spatial localization for the measured object which has a high flexibility and precision. Dynamic motion data and the static scan data can be obtained in real-time by using the Mocap system and 3D scanner, respectively. In the final, heterogeneous spatial data will be converted to a same 3D space, and the parts of point clouds will be spliced to a whole 3D model. The experiments show that the method is valid.