Open Access Open Access  Restricted Access Subscription Access

Comparison of Three Non-contact Scanners for Reverse Engineering: A Case Study for Industrial Products

Nima Rafibakhsh, Mingshao Zhang, H. Felix Lee

Abstract


Microsoft Kinect is a recognized and one of the most accepted gaming devices in the world. In this paper, we study its applicability in creating 3D images for reverse engineering. We judge them against with two other non-contact methods for reverse engineering, photogrammetry using the Canon SLR Camera and laser scanning method using the NextEngine 3D Laser Scanner. This paper represents a comparative case study among them using objects with both simple and complex geometry.


Full Text:

PDF

References


Sokovic, M. and Kopac, J., 2006. RE (reverse engineering) as necessary phase by rapid product development. Journal of Materials Processing Technology, 175(1), pp.398-403.

Baltsavias, E.P., 1999. A comparison between photogrammetry and laser scanning. ISPRS Journal of photogrammetry and Remote Sensing, 54(2), pp.83-94.

Brenner, C., 2005. Building reconstruction from images and laser scanning. International Journal of Applied Earth Observation and Geoinformation, 6(3), pp.187-198.

Böhler, W. and Marbs, A., 2004, June. 3D scanning and photogrammetry for heritage recording: a comparison. In Proceedings of the 12th International Conference on Geoinformatics (pp. 291-298). Gavle University Press, Sweden.

Alshawabkeh, Y. and Haala, N., 2004. Integration of digital photogrammetry and laser scanning for heritage documentation. International Archives of Photogrammetry and Remote Sensing, 35, p.B5.

Lambers, K., Eisenbeiss, H., Sauerbier, M., Kupferschmidt, D., Gaisecker, T., Sotoodeh, S. and Hanusch, T., 2007. Combining photogrammetry and laser scanning for the recording and modelling of the Late Intermediate Period site of Pinchango Alto, Palpa, Peru. Journal of archaeological science, 34(10), pp.1702-1712.

Gibson, I. ed., 2006. Advanced manufacturing technology for medical applications: reverse engineering, software conversion and rapid prototyping. John Wiley & Sons.

Galantucci, L.M., Percoco, G., Angelelli, G., Lopez, C., Introna, F., Liuzzi, C. and De Donno, A., 2006. Reverse Engineering Techniques applied to a human skull, for CAD 3D reconstruction and physical replication by rapid prototyping. Journal of Medical Engineering & Technology, 30(2), pp.102-111.

Beccari, C.V., Farella, E., Liverani, A., Morigi, S. and Rucci, M., 2010. A fast interactive reverse-engineering system. Computer-Aided Design, 42(10), pp.860-873.

The NextEngine, http://www.nextengine.com/, accessed on May 1, 2017.

Varady, T., Martin, R.R. and Cox, J., 1997. Reverse engineering of geometric models—an introduction. Computer-Aided Design, 29(4), pp.255-268.

3D Scanner, https://en.wikipedia.org/wiki/3D_scanner, accessed on May 1, 2017.

Blais, F., Beraldin, J.A. and El-Hakim, S.F., 2000, September. Range error analysis of an integrated time-of-flight, triangulation, and photogrammetric 3D laser scanning system. In AeroSense 2000 (pp. 236-247). International Society for Optics and Photonics.

Westoby, M.J., Brasington, J., Glasser, N.F., Hambrey, M.J. and Reynolds, J.M., 2012. Structure-from-Motion photogrammetry: A low-cost, effective tool for geoscience applications. Geomorphology, 179, pp.300-314.

Han, J., Shao, L., Xu, D. and Shotton, J., 2013. Enhanced computer vision with microsoft kinect sensor: A review. IEEE transactions on cybernetics, 43(5), pp.1318-1334.

Draelos, M.T., 2012. The Kinect Up Close: Modifications for Short-Range Depth Imaging, A thesis Master of Science. Electrical Engineering, Raleigh, North Carolina.

Novak-Marcincin, J., Torok, J. and Szentivanyi, P., 2014. Possibility of Reverse Engineering in Low-Cost Terms. In Advanced Materials Research (Vol. 912, pp. 1669-1672). Trans Tech Publications.

Luhmann, T., 2010. Close range photogrammetry for industrial applications. ISPRS Journal of Photogrammetry and Remote Sensing, 65(6), pp.558-569.

https://www.tinkercad.com/, accessed on May 1, 2017.

http://www.meshlab.net/, accessed on May 1, 2017.

Izadi, S., Kim, D., Hilliges, O., Molyneaux, D., Newcombe, R., Kohli, P., Shotton, J., Hodges, S., Freeman, D., Davison, A. and Fitzgibbon, A., 2011, October. Kinect Fusion: real-time 3D reconstruction and interaction using a moving depth camera. In Proceedings of the 24th annual ACM symposium on User interface software and technology (pp. 559-568). ACM.

Zou, Y., Chen, W., Wu, X. and Liu, Z., 2012, July. Indoor localization and 3D scene reconstruction for mobile robots using the Microsoft Kinect sensor. In Industrial Informatics (INDIN), 2012 10th IEEE International Conference on (pp. 1182-1187). IEEE.

Shum, H.P., Ho, E.S., Jiang, Y. and Takagi, S., 2013. Real-time posture reconstruction for Microsoft Kinect. IEEE transactions on cybernetics, 43(5), pp.1357-1369.

Zollhöfer, M., Martinek, M., Greiner, G., Stamminger, M. and Süßmuth, J., 2011. Automatic reconstruction of personalized avatars from 3D face scans. ComputerAnimation and Virtual Worlds, 22(2‐3), pp.195-202.

http://rgbdemo.org/, accessed on May 1, 2017.

http://www.stratasys.com/3d-printers/idea-series/uprint-se-plus, accessed on May 1, 2017.


Refbacks

  • There are currently no refbacks.