Pertanika Journal of Science & Technology
Pertanika Journal Home Facebook
Pertanika · Universiti Putra Malaysia Press

Pertanika Journal of Science & Technology

Official journal of Universiti Putra Malaysia for scholarly work across science, engineering and related technologies.

e-ISSN 2231-8526 ISSN 0128-7680
Research article

Improved High Dynamic Range for 3D Shape Measurement based on Saturation of the Coloured Fringe

Shanyu Chua, Chee Chin Lim1, Swee Kheng Eng, Yen Fook Chong and Chiun Tai Loh

https://doi.org/10.47836/pjst.29.2.04
Keywords3D scanning, fringe profilometry, phase-shifting profilometry
Article content

Abstract

Phase-shifting fringe projection methods have been developed for three-dimensional scanning (Zuo et al., 2018). However, the 3-Dimensional (3D) scanning of objects with a high dynamic reflectivity range based on structured light is a challenging task to achieve (Feng et al., 2018). The incorrect intensities captured will cause phase and measurement errors. Thus, this paper proposes a method that improves the current High Dynamic Range (HDR) (Jiang et al., 2016)) method to increase the dynamic range. The camera and projector have 3 channels, red, green, and blue, which can absorb and project these lights independently. This paper proposes a method that makes use of this by controlling the intensity of each projected for the camera. Each image can be split into 3 channels and provide 3 images which contain different intensities, then it will be used to compute the 3D information. In general, this is done by controlling the projection of red, green and blue (RGB) channel and apply the Jiang’s algorithm (Jiang et al., 2016). The results are compared and analysed with current HDR (Jiang’s method) and the regular three-step phase-shifting methods. From the experimental results, it has shown that our proposed method outperforms the current HDR and the regular three-step phase-shifting methods. Specifically, the proposed method manages to increase the dynamic range of the reflective property of objects. Additionally, our proposed method has also significantly reduced the times of 3D object measurements.
Supporting literature

References

  1. Aboali, M., Manap, N. A., Darsono, A. M., & Yusof, Z. M. (2017). Review on three dimensional (3-D) acquisition and range imaging techniques. International Journal of Applied Engineering Research, 12(10), 2409-2421.
  2. Achar, S., Bartels, J. R., Whittaker, W. L., Kutulakos, K. N., & Narasimhan, S. G. (2017). Epipolar time-of-flight imaging. ACM Transactions on Graphics, 36(4), 1-8. https: //doi.org/10.1145/3072959.3073686
  3. Babaie, G., Abolbashari, M., & Farahi, F. (2015). Dynamics range enhancement in digital fringe projection technique. Precision Engineering, 39, 243-251. https: //doi.org/10.1016/j.precisioneng.2014.06.007
  4. Chen, C., Gao, N., Wang, X., & Zhang, Z. (2018). Adaptive projection intensity adjustment for avoiding saturation in three-dimensional shape measurement. Optics Communications, 410(October 2017), 694-701. https: //doi.org/10.1016/j.optcom.2017.11.009
  5. Faes, M., Abbeloos, W., Vogeler, F., Valkenaers, H., Coppens, K., Goedemé, T., & Ferraris, E. (2016). Process Monitoring of Extrusion Based 3D Printing via Laser Scanning. Computer Vision and Pattern Recognition, 2016, 1-5. https: //doi.org/10.13140/2.1.5175.0081
  6. Feng, S., Zhang, L., Zuo, C., Tao, T., Chen, Q., & Gu, G. (2018). High dynamic range 3-D measurements with fringe projection profilometry: A review. Measurement Science and Technology, 29(12), Article 122001. https: //doi.org/10.1016/j.vetmic.2007.04.014
  7. Huang, S. H., & Pan, Y. C. (2015). Automated visual inspection in the semiconductor industry: A survey. Computers in Industry, 66, 1-10. https: //doi.org/10.1016/j.compind.2014.10.006
  8. Jiang, C., Bell, T., & Zhang, S. (2016). High dynamic range real-time 3D shape measurement. Optics Express, 24(7), Article 7337. https: //doi.org/10.1364/OE.24.007337
  9. Liu, Y., Xi, J., Yu, Y., & Chicharo, J. (2010). Phase error correction based on Inverse Function Shift Estimation in Phase Shifting Profilometry using a digital video projector. In Optical Metrology and Inspection for Industrial Applications (Vol. 7855, p. 78550W). International Society for Optics and Photonics. https: //doi.org/10.1117/12.870369
  10. Malamas, E. N., Petrakis, E. G., Zervakis, M., Petit, L., & Legat, J. D. (2003). A survey on industrial vision systems,applications and tools. Image and Vision Computing, 21(2), 171-188. https: //doi.org/10.1016/S0262-8856(02)00152-X
  11. Pavlicek, P., & Mikeska, E. (2018). White-light interferometry without depth scan. In P. Zemánek (Ed.), 21st Czech-Polish-Slovak Optical Conference on Wave and Quantum Aspects of Contemporary Optics (Vol. 10976, p. 9). SPIE. https: //doi.org/10.1117/12.2517877
  12. Salahieh, B., Chen, Z., Rodriguez, J. J., & Liang, R. (2014). Multi-polarization fringe projection imaging for high dynamic range objects. Optics Express, 22(8), Article 10064. https: //doi.org/10.1364/OE.22.010064
  13. Song, Z., Jiang, H., Lin, H., & Tang, S. (2017). A high dynamic range structured light means for the 3D measurement of specular surface. Optics and Lasers in Engineering, 95(September 2016), 8-16. https: //doi.org/10.1016/j.optlaseng.2013.12.013
  14. Waddington, C., & Kofman, J. (2014). Modified sinusoidal fringe-pattern projection for variable illuminance in phase-shifting three-dimensional surface-shape metrology. Optical Engineering, 53(8), Article 084109. https: //doi.org/10.1117/1.OE.53.8.084109
  15. Wang, M., Du, G., Zhou, C., Zhang, C., Si, S., Li, H., Lei, Z., & Li, Y. (2017). Enhanced high dynamic range 3D shape measurement based on generalized phase-shifting algorithm. Optics Communications, 385, 43-53. https: //doi.org/10.1016/j.optcom.2016.10.023
  16. Wolff, L. B. (1989). Using polarization to separate reflection components. In Proceedings CVPR’89: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 363-369). IEEE Conference Publication. https: //doi.org/10.1109/CVPR.1989.37873
  17. Zhang, S. (2016). High-speed 3D imaging with digital fringe projection techniques. CRC Press. https: //doi.org/10.1017/CBO9781107415324.004
  18. Zhang, S. (2018). High-speed 3D shape measurement with structured light methods: A review. Optics and Lasers in Engineering, 106(February), 119-131. https: //doi.org/10.1016/j.optlaseng.2018.02.017
  19. Zhang, S., & Huang, P. S. (2006a). High-resolution, real-time three-dimensional shape measurement. Optical Engineering, 45(12), Article 123601. https: //doi.org/10.1117/1.2402128͔
  20. Zhang, S., & Huang, P. S. (2006b). Novel method for structured light system calibration. Optical Engineering, 45(8), Article 083601. https: //doi.org/10.1117/1.2336196
  21. Zhang, S., & Yau, S. T. (2009). High dynamic range scanning technique. Optical Engineering, 48(3), Article 033604. https: //doi.org/10.1117/1.3099720
  22. Zuo, C., Feng, S., Huang, L., Tao, T., Yin, W., & Chen, Q. (2018). Phase shifting algorithms for fringe projection profilometry: A review. Optics and Lasers in Engineering, 109(200), 23-59. https: //doi.org/10.1016/j.optlaseng.2018.04.019