Abstract
The authors present a color structured light system by projecting an optimized De Bruijn pattern for 3D model reconstruction under natural light condition. The main focus of this paper is to enhance the accuracy of the correspondence problem by designing a novel locally adaptive dynamic programming algorithm, which adjusts the support-weight of stripe in a given local window. The presented approach performs better in terms of smoothness and accuracy of construction result and is suitable for generating high-quality and real-time scans of moving object.
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References
Cox, I.J., Hingorani, S.L., Rao, S.B., Maggs, B.M.: A maximum likelihood stereo algorithm. Computer Vision and Image Understanding 63, 542–567 (1996)
Yahav, G., Iddan, G., Mandelboum, D.: 3d imaging camera for gaming application. In: International Conference on Consumer Electronics, ICCE 2007. Digest of Technical Papers, pp. 1–2 (2007)
Besl, P.J.: Active, optical range imaging sensors. Machine Vision and Applications 1, 127–152 (1988), doi:10.1007/BF01212277
Zhang, X., Zhu, L., Chu, L.: Evaluation of coded structured light methods using ground truth. In: 2011 IEEE 5th International Conference on Cybernetics and Intelligent Systems (CIS), pp. 117–123 (2011)
Fechteler, P., Eisert, P.: Adaptive colour classification for structured light systems. Computer Vision, IET 3, 49–59 (2009)
Zhang, L., Curless, B., Seitz, S.: 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 (2002)
Koninckx, T., Van Gool, L.: Real-time range acquisition by adaptive structured light. IEEE Transactions on Pattern Analysis and Machine Intelligence 28, 432–445 (2006)
Tombari, F., Mattoccia, S., Di Stefano, L., Addimanda, E.: Classification and evaluation of cost aggregation methods for stereo correspondence. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2008, pp. 1–8 (2008)
Yoon, K.J., Kweon, I.S.: Locally adaptive support-weight approach for visual correspondence search. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005, vol. 2, pp. 924–931 (2005)
Je, C., Lee, S.-W., Park, R.-H.: High-Contrast Color-Stripe Pattern for Rapid Structured-Light Range Imaging. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3021, pp. 95–107. Springer, Heidelberg (2004)
Zhao, D., Zhou, Y., Yu, Y., Du, S.: A novel peak detection method of structured light stripes for 3d reconstruction. In: 2011 International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), vol. 2, pp. 43–46 (2011)
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Zou, R., Zhou, Y., Yu, Y., Du, S. (2012). A Novel Locally Adaptive Dynamic Programming Approach for Color Structured Light System. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2012. Lecture Notes in Computer Science, vol 7431. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33179-4_36
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DOI: https://doi.org/10.1007/978-3-642-33179-4_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33178-7
Online ISBN: 978-3-642-33179-4
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