Abstract
In the recent years turning smartphones into 3D reconstruction devices has been greatly investigated. Different 3D reconstruction concepts have been proposed, and one of the most popular is based on IR projection of a pseudorandom dots (speckle) pattern. We demonstrate our idea how a pseudorandom dots pattern can be used and we also present an active approach applying a structured light (SL) scanning on the smartphone. SL has a number of advantages compared to other 3D reconstruction concepts and likewise our smartphone implementation inherits the same advantages compared to other smartphone based solutions. The shown qualitative and quantitative results demonstrate the comparable outcome with the standard type SL scanner.
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References
123D Catch. http://www.123dapp.com/catch. Accessed Nov 2015
Trnio. http://www.trnio.com. Accessed Nov 2015
Tanskanen, P., Kolev, K., Meier, L., Camposeco, F., Saurer, O., Pollefeys, M.: Live metric 3D reconstruction on mobile phones. In: IEEE ICCV 2013, pp. 65–72 (2013)
Hartl, A., Gruber, L., Arth, C., Hauswiesner, S., Schmalstieg, D.: Rapid reconstruction of small objects on mobile phones. In: IEEE Conference on CVPR Workshops 2011, pp. 20–27 (2011)
Wang, C., Bao, M., Shen, T.: 3D model reconstruction algorithm and implementation based on the mobile device. J. Theor. Appl. Inf. Technol. 46(1), 255–262 (2012)
Trimensional. http://www.trimensional.com. Accessed Nov 2015
Won, J.H., Lee, M.H., Park, I.K.: Active 3D shape acquisition using smartphones. In: IEEE Conference on CVPR Workshops 2012, pp. 29–34 (2012)
Project Tango. https://www.ifixit.com/Teardown/Project+Tango+Teardown/23835. Accessed Nov 2015
Slossberg, R., Wetzler, A., Kimmel, R.: Freehand laser scanning using mobile phone. In: Proceeding of the British Machine Vision Conference, pp. 88.1–88.10 (2015)
Salvi, J., Fernandez, S., Pribanić, T., LLado, X.: A state of the art in structured light patterns for surface profilometry. Pattern Recogn. 43, 2666–2680 (2010)
List of projector phones. https://en.wikipedia.org/wiki/Projector_phone. Accessed Nov 2015
Samsung Galaxy Beam. http://www.samsung.com/global/microsite/galaxybeam/feature.html. Accessed Nov 2015
Reshetouski, I., Ihrke, I.: Mirrors in computer graphics, computer vision and time-of-flight imaging. In: Grzegorzek, M., Theobalt, C., Koch, R., Kolb, A. (eds.) Time-of-Flight and Depth Imaging. LNCS, vol. 8200, pp. 77–104. Springer, Heidelberg (2013)
Pribanić, T., Mrvoš, S., Salvi, J.: Efficient multiple phase shift patterns for dense 3D acquisition in structured light scanning. Image Vis. Comput. 28, 1255–1266 (2010)
Zhang, Z.: A flexible new technique for camera calibration. IEEE Trans. PAMI 22(11), 1330–1334 (2000)
McIlroy, P., Izadi, S., Fitzgibbon, A.: Kinectrack: Agile 6-DoF tracking using a projected dot pattern. In: International Symposium on Mixed and Augmented Reality, pp. 23–29 (2012)
Ishii, I., Yamamoto, K., Doi, K., Tsuji, T.: High-speed 3D image acquisition using coded structured light projection. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 925–930 (2007)
Zhang, Y., Xiong, Z., Yang, Z., Wu, F.: Real-time scalable depth sensing with hybrid structured light illumination. IEEE Trans. Image Process. 23, 97–109 (2014)
Petković, T., Pribanić, T., Đonlić, M.: The self-equalizing De Bruijn sequence for 3D profilometry. In: Proceeding of the British Machine Vision Conference, pp. 155.1–155.11 (2015)
Acknowledgment
This work has been supported in parts by the Croatian Science Foundation’s funding of the project IP-11-2013-3717. We also acknowledge the support of Croatian-French Program “Cogito”, Hubert Curien partnership, funding the project “Three-dimensional reconstruction using smartphone”.
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Pribanić, T., Petković, T., Đonlić, M., Angladon, V., Gasparini, S. (2016). 3D Structured Light Scanner on the Smartphone. In: Campilho, A., Karray, F. (eds) Image Analysis and Recognition. ICIAR 2016. Lecture Notes in Computer Science(), vol 9730. Springer, Cham. https://doi.org/10.1007/978-3-319-41501-7_50
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DOI: https://doi.org/10.1007/978-3-319-41501-7_50
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