Abstract
Profilometry based on structured light is one of the most popular methods for 3D reconstruction. It is widely used when high-precision and dense models, for a variety of different objects, are required. User-friendly procedures encode the scene in horizontal and vertical directions, which allows a unique description of points in the scene. The resulting encoding, can be used to auto-calibrate the devices used. Thus, any consumer or industrial cameras or projectors can be supported and the procedure is not limited to pre-calibrated setups. This approach is extremely flexible, but requires a large number of camera acquisitions of the scene with multiple patterns projected. This paper presents a new approach that encodes the scene simultaneously in horizontal and vertical directions using sinusoidal fringe patterns. This allows to almost halve the number of recorded images, making the approach attractive again for many practical applications with time aspects.
This work was partially funded by the projects MARMORBILD (03VP00293) and VIDETE (01W18002) of the German Federal Ministry of Education and Research (BMBF).
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References
Fetzer, T., Reis, G., Stricker, D.: Robust auto-calibration for practical scanning setups from epipolar and trifocal relations. In: 2019 16th International Conference on Machine Vision Applications (MVA), pp. 1–6. IEEE (2019)
Fetzer, T., Reis, G., Stricker, D.: Stable intrinsic auto-calibration from fundamental matrices of devices with uncorrelated camera parameters. In: 2020 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE (2020)
Fetzer, T., Reis, G., Stricker, D.: Fast projector-driven structured light matching in sub-pixel accuracy using bilinear interpolation assumption. In: Tsapatsoulis, N., et al. (eds.) CAIP 2021, LNCS, vol. 13052, pp. 26–36. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-89128-2_3
Guan, C., Hassebrook, L., Lau, D.: Composite structured light pattern for three-dimensional video. Opt. Express 11(5), 406–417 (2003)
Je, C., Lee, S.W., Park, R.H.: Color-phase analysis for sinusoidal structured light in rapid range imaging. arXiv preprint arXiv:1509.04115 (2015)
Legarda-Saenz, R., Espinosa-Romero, A.: Wavefront reconstruction using multiple directional derivatives and fourier transform. Opt. Eng. 50(4), 040501 (2011)
Mirdehghan, P., Chen, W., Kutulakos, K.N.: Optimal structured light à la carte. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2018)
Oo, N., Gan, W.S.: On harmonic addition theorem. Int. J. Comput. Commun. Eng. 1(3), 200 (2012)
Salvi, J., Fernandez, S., Pribanic, T., Llado, X.: A state of the art in structured light patterns for surface profilometry. Pattern Recogn. 43(8), 2666–2680 (2010)
Sansoni, G., Redaelli, E.: A 3D vision system based on one-shot projection and phase demodulation for fast profilometry. Meas. Sci. Technol. 16(5), 1109 (2005)
Servin, M., Estrada, J., Quiroga, J.A.: The general theory of phase shifting algorithms. Opt. Express 17(24), 21867–21881 (2009)
Wang, Z., Yang, Y.: Single-shot three-dimensional reconstruction based on structured light line pattern. Opt. Lasers Eng. 106, 10–16 (2018)
Yang, L., Li, F., Xiong, Z., Shi, G., Niu, Y., Li, R.: Single-shot dense depth sensing with frequency-division multiplexing fringe projection. J, Vis. Commun. Image Represent. 46, 139–149 (2017)
Zanuttigh, P., Marin, G., Dal Mutto, C., Dominio, F., Minto, L., Cortelazzo, G.M.: Time-of-Flight and Structured Light Depth Cameras. Technology and Applications. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-30973-6
Zhang, L., Curless, B., Seitz, S.M.: Rapid shape acquisition using color structured light and multi-pass dynamic programming. In: Proceedings of the First International Symposium on 3D Data Processing Visualization and Transmission, pp. 24–36. IEEE (2002)
Zhang, S.: Recent progresses on real-time 3D shape measurement using digital fringe projection techniques. Opt. Lasers Eng. 48(2), 149–158 (2010)
Zhang, S., Yau, S.T.: Three-dimensional shape measurement using a structured light system with dual cameras. Opt. Eng. 47(1), 013604 (2008)
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Fetzer, T., Reis, G., Stricker, D. (2021). Simultaneous Bi-directional Structured Light Encoding for Practical Uncalibrated Profilometry. In: Tsapatsoulis, N., Panayides, A., Theocharides, T., Lanitis, A., Pattichis, C., Vento, M. (eds) Computer Analysis of Images and Patterns. CAIP 2021. Lecture Notes in Computer Science(), vol 13052. Springer, Cham. https://doi.org/10.1007/978-3-030-89128-2_1
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