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Collimating illumination and piezoelectric transducer based 3D intraoral scanner

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Abstract

Due to the restrictions of size and volume on the 3D scanner for dental applications, it is not easy to perform non-contact profile scanning in the mouth cavity. In this paper, a piezoelectric transducer and collimating illumination based 3D intraoral scanner is presented for the measurement of tooth profiles in the mouth cavity. The phase-shifting technique is used along with an accurate calibration method for the measurement of the tooth profile. Experimental and theoretical inspection of the phase-to-coordinate relation is presented. In addition, a nonlinear system model is proposed for collimating illumination that gives a more accurate mathematical representation of the system, thus improving the shape measurement accuracy. Simulation and optical measurement results are presented to verify the feasibility and performance of the developed system.

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References

  1. Gorthi, S. S. and Rastogi, P., “Fringe projection techniques: whither we are?” Opt. Lasers Eng., Vol. 48, pp. 133–140, 2010.

    Article  Google Scholar 

  2. Kimber, M. L., “Development of a Virtually Calibrated Projection Moiré Interferometry Technique Capable of Inaccessible Surface Measurements,” Brigham Young University, 2004.

    Google Scholar 

  3. Huntley, J. M., “Optical shape measurement technology — past, present, and future,” Proc. SPIE, Vol. 4076, pp. 162–173, 2000.

    Article  Google Scholar 

  4. Chen, L. and Huang, C., “Miniaturized 3D surface prolometer using digital fringe projection,” Meas. Sci. Techn., Vol. 16, No. 5, pp. 1061–1068, 2005.

    Article  Google Scholar 

  5. Moore, C. J., Burton, D. R., Skydan, O., Sharrock, P. J., and Lalor, M., “3D body surface measurement and display in radiotherapy part I: Technology of structured light surface sensing,” Proc. Int. Conf. Medical Information Visualisation — BioMedical Visualisation (1691277), pp. 97–102, 2006.

    Chapter  Google Scholar 

  6. Rusinkiewicz, S., Hall-Holt, O., and Levoy, M., “Realtime 3D model acquisition,” Proc. of SIGGRAPH, pp. 438–446, 2002.

    Google Scholar 

  7. Huang, P. S., Zhang, C., and Chiang, F., “High-speed 3-D shape measurement based on digital fringe projection,” Opt. Eng., Vol. 42, No. 1, pp. 163–168, 2003.

    Article  Google Scholar 

  8. Guan, C., Hassebrook, L. G., and Lau, D. L., “Real-time 3-D data acquisition for augmented reality man and machine interfacing,” Visualization of Temporal and Spatial Data for Civilian and Defense Applications V, SPIE’s AeroSense, Vol. 5097A-5, 2003.

  9. Koninckx, T. P. and Gool, L. V., “Real-time range acquisition by adaptive structured light,” IEEE Trans. Pattern Analy. Mach. Intell., Vol. 28, No. 3, pp. 432–445, 2006.

    Article  Google Scholar 

  10. Ullah, F., Lee, G. S., and Park, K., “Piezoelectric Transducer based 3D Intraoral Scanner,” 2012 International Conference on Information Science and Applications, pp. 118–123, 2012.

    Google Scholar 

  11. Morimoto, Y., Fujigaki, M., and Toda, H., “Real-time shape measurement by integrated phase-shifting method,” Proc. SPIE,Vol. 3744, pp. 118–125, 1999.

    Article  Google Scholar 

  12. Zhang, S. and Huang, P. S., “High-resolution, real-time 3D shape acquisition,” IEEE Workshop on real-time 3D sensors and their uses (joint with CVPR 04), 2004.

    Google Scholar 

  13. Zhang, S. and Yau, S. T., “High-resolution, real-time 3D absolute coordinate measurement based on a phase-shifting method,” Opt. Express, Vol. 14, No. 7, pp. 2644–2649, 2006.

    Article  Google Scholar 

  14. Miyasaka, T. and Araki, K., “Development of real time 3-D measurement system using intensity ratio method,” Proc. ISPRS Commission III, 34, Part 3B, Photogrammetric Computer Vision (PCV02), (Graz, 2002), pp. 181–185, 2002.

    Google Scholar 

  15. Zhang, L., Curless, B., and Seitz, S., “Spacetime stereo: shape recovery for dynamic scenes,” Proceedings of the Computer Vision and Pattern Recognition, pp. 367–374, 2003.

    Google Scholar 

  16. Chen, X., Xi, J. T., Jiang, T., and Jin, Y., “Research and development of an accurate 3D shape measurement system based on fringe projection: Model analysis and performance evaluation,” Precision Engineering, Vol. 32, pp. 215–221, 2008.

    Article  Google Scholar 

  17. Zhang, S., “Recent progresses on real-time 3D shape measurement using digital fringe projection techniques,” Opt. Lasers Eng., Vol. 48, pp. 149–158, 2010.

    Article  Google Scholar 

  18. Ullah, F., Lee, G. S., and Park, K., “Development of a Real-time 3D Intraoral Scanner based on Fringe-Projection Technique,” Transactions of the Society of CAD/CAM Engineers, Vol. 17, No. 3, pp. 156–163, 2012.

    Article  Google Scholar 

  19. Ullah, F., Lee, G. S., and Park, K., “Analysis and Performance Comparison of 3D Measurement Systems based on Fringe Projection Profilometry,” 2012 International Conference on Information Science and Applications, pp. 62–67, 2012.

    Google Scholar 

  20. Pfeiffer, J., “The Character of CEREC 2,” Cerec 10 Year Anniversary Symposium, 1996.

    Google Scholar 

  21. Riehemann, S., Palme, M., Kuehmstedt, P., Grossmann, C., Notni, G., and Hintersehr, J., “Microdisplay-Based Intraoral 3D Scanner for Dentistry,” Journal of Display Technology, Vol. 7, No. 3, pp. 151–155, 2011.

    Article  Google Scholar 

  22. Creath, K., “Phase measurement interferometry techniques,” Progress in Optics., Vol. 26, pp. 349–393, 1988.

    Article  Google Scholar 

  23. Wyant, J. C., “Phase-Shifting Interferometry,” Optical Sciences Center, University of Arizona, Technical Report, 1998.

  24. Malacara, D., Servin, M., and Malacara, Z., “Interferogram Analysis for Optical Testing,” Taylor & Francis Group, 2nd ed., 2005.

    Google Scholar 

  25. Greivenkamp, J. E. and Bruning, J. H., “Phase Shifting Interferometry, in Malacara, D., Optical Shop Testing,” John Wiley, 3rd ed., pp. 547–655, 2007.

    Google Scholar 

  26. Ghiglia, D. C. and Pritt, M. D., “Two-dimensional phase unwrapping: theory, algorithms, and software,” Wiley Interscience, John Wiley and Sons, Inc., 1998.

    MATH  Google Scholar 

  27. Zhang, Z., “A flexible new technique for camera calibration,” IEEE Trans. Pattern Anal., Vol. 22, pp. 1330–1334, 2000.

    Article  Google Scholar 

  28. ThorLabs, http://www.thorlabs.de/thorproduct.cfm?partnumber=DCC1645C, [Accessed: September 26, 2012]

  29. Lanics Laser Electronics, http://www.lanics.com/products/diodelaser-dot.php, [Accessed: September 26, 2012]

  30. Hart, D. P., Lammerding, J., and Rohaly, J., “3-D Imaging System,” US Patent 2004/0155975 A1, 2004.

    Google Scholar 

  31. Trissel, R. G., “Polarizing multiplexer and methods for intra-oral scanning,” US Patent 2007/0047079 A1, 2007.

    Google Scholar 

  32. Ernst, M. M., Neta, U., Cohen, C., and Geffen, M., “Threedimensional modeling of the oral cavity,” US Patent 2008/0273773 A1, 2008.

    Google Scholar 

  33. Dillon, R. F., Zhao, B., and Judell, N. H. K., “Intra-oral threedimensional imaging system,” International Publication, WO/ 2009/ 058656 A1, 2009.

    Google Scholar 

  34. Silvia, L., Giordano, F., Ari, K., Michele, C., Lapo, G., and Luciano, B., “A Comparative Analysis Of Intraoral 3d Digital Scanners For Restorative Dentistry,” The Internet Journal of Medical Technology, Vol. 5, No. 1, 2011.

    Google Scholar 

  35. Anwar, H., Din, I., and Park, K., “Projector calibration for 3D scanning using virtual target images,” Int. J. Precis. Eng. Manuf., Vol. 13, No. 1, pp. 125–131, 2012.

    Article  Google Scholar 

  36. Yoo, D.-J. and Kwon, H.-H., “Shape reconstruction, shape manipulation, and direct generation of input data from point clouds for rapid prototyping,” Int. J. Precis. Eng. Manuf., Vol. 10, No. 1, pp. 103–113, 2009.

    Article  Google Scholar 

  37. Park, J., Lee, J., Lee, M., and Lee, E., “A glass thickness measuring system using the machine vision method,” Int. J. Precis. Eng. Manuf., Vol. 12, No. 5, pp. 769–774, 2011.

    Article  Google Scholar 

  38. Kim, J., “Visually guided 3D micro positioning and alignment system,” Int. J. Precis. Eng. Manuf., Vol. 12, No. 5, pp. 797–803, 2011.

    Article  Google Scholar 

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Ullah, F., Lee, G.S. & Park, K. Collimating illumination and piezoelectric transducer based 3D intraoral scanner. Int. J. Precis. Eng. Manuf. 14, 567–576 (2013). https://doi.org/10.1007/s12541-013-0077-z

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  • DOI: https://doi.org/10.1007/s12541-013-0077-z

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