Portable 3D scanning system based on an inertial sensor

Portable 3D scanning systems are increasingly used in many applications at present as a result of its high flexibility, portability and high efficiency. Iterative closest points method is widely used for multi-view measurement results registration. However, there are many restrictions for portable system, the alignment often depends on landmarks on object surface or object features, in some applications, it may not achieve satisfactory expectations. In this paper, we propose to conduct the registration based on pose estimation from a low cost inertial sensor, which will increase the measurement effectiveness. Test result demonstrates that the method is feasible. With attitude information inside the system, the measurement device does not need external support information and has good prospects for application.

[1]  Christian Bräuer-Burchardt,et al.  3D shape measurement with phase correlation based fringe projection , 2007, SPIE Optical Metrology.

[2]  Kim L. Boyer,et al.  Precision range image registration using a robust surface interpenetration measure and enhanced genetic algorithms , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Frank Chongwoo Park,et al.  Robot sensor calibration: solving AX=XB on the Euclidean group , 1994, IEEE Trans. Robotics Autom..

[4]  Christian Bräuer-Burchardt,et al.  Hand-held 3D sensor for documentation of fossil and archaeological excavations , 2011, Optical Metrology.

[5]  Paul J. Besl,et al.  A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  Pavel Krsek,et al.  The Trimmed Iterative Closest Point algorithm , 2002, Object recognition supported by user interaction for service robots.

[7]  Gérard G. Medioni,et al.  Object modelling by registration of multiple range images , 1992, Image Vis. Comput..

[8]  F. Aghili,et al.  Driftless 3-D Attitude Determination and Positioning of Mobile Robots By Integration of IMU With Two RTK GPSs , 2013, IEEE/ASME Transactions on Mechatronics.

[9]  Peter Kühmstedt,et al.  Handheld 3D Scanning with Automatic Multi-view Registration Based on Optical and Inertial Pose Estimation , 2014 .

[10]  Giovanna Sansoni,et al.  State-of-The-Art and Applications of 3D Imaging Sensors in Industry, Cultural Heritage, Medicine, and Criminal Investigation , 2009, Sensors.

[11]  Wolfgang Schreiber,et al.  Theory and arrangements of self-calibrating whole-body 3-D-measurement systems using fringe projection technique , 2000 .

[12]  Christian Bräuer-Burchardt,et al.  Cordless portable multi-view fringe projection system for 3D reconstruction , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[13]  Sai Siva Gorthi,et al.  Fringe projection techniques: Whither we are? , 2010 .