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Combining Defocus and Photoconsistency for Depth Map Estimation in 3D Integral Imaging

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Pattern Recognition and Image Analysis (IbPRIA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10255))

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Abstract

This paper presents the application of a depth estimation method for scenes acquired using a Synthetic Aperture Integral Imaging (SAII) technique. SAII is an autostereoscopic technique consisting of an array of cameras that acquires images from different perspectives. The depth estimation method combines a defocus and a correspondence measure. This approach obtains consistent results and shows noticeable improvement in the depth estimation as compared to a minimum variance minimisation strategy, also tested in our scenes. Further improvements are obtained for both methods when they are fed into a regularisation approach that takes into account the depth in the spatial neighbourhood of a pixel.

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References

  1. Arimoto, H., Javidi, B.: Integral three-dimensional imaging with digital reconstruction. Opt. Lett. 26, 157–159 (2001)

    Article  Google Scholar 

  2. Benton, S.A., Bove, V.M.: Holographic Imaging. Wiley-Interscience, New York (2008)

    Book  Google Scholar 

  3. Cho, M., Javidi, B.: Three-dimensional visualization of objects in turbid water using integral imaging. J. Disp. Technol. 6(10), 544–547 (2010)

    Article  Google Scholar 

  4. Cho, M., Mahalanobis, A., Javidi, B.: 3D passive photon counting automatic target recognition using advanced correlation filters. Opt. Lett. 36(6), 861–863 (2011)

    Article  Google Scholar 

  5. DaneshPanah, M., Javidi, B.: Profilometry and optical slicing by passive three-dimensional imaging. Opt. Lett. 34(7), 1105–1107 (2009)

    Article  Google Scholar 

  6. Hong, S.H., Jang, J.S., Javidi, B.: Three-dimensional volumetric object reconstruction using computational integral imaging. Opt. Express 3(3), 483–491 (2004)

    Article  Google Scholar 

  7. Jang, J.S., Javidi, B.: Three-dimensional synthetic aperture integral imaging. Opt. Lett. 27, 1144–1146 (2002)

    Article  Google Scholar 

  8. Javidi, B., Shen, X., Markman, A., Latorre-Carmona, P., Martnez-Uso, A., Sotoca, J.M., Pla, F., Martinez-Corral, M., Saavedra, G., Huang, Y.P., Stern, A.: Multidimensional optical sensing and imaging systems (MOSIS): from macro to micro scales. Proc. IEEE 105 (2017, to appear)

    Google Scholar 

  9. Sinha, S., Steedly, D., Szeliski, R., Agrawala, M., Pollefeys, M.: Interactive 3D architectural modeling from unordered photo collections. ACM Trans. Graph. 27, 1–10 (2008)

    Article  Google Scholar 

  10. Son, J.Y., Son, W.H., Kim, S.K., Lee, K.H., Javidi, B.: Three-dimensional imaging for creating real-world-like environments. Proc. IEEE 101(1), 190–205 (2013)

    Article  Google Scholar 

  11. Stern, A., Javidi, B.: Three-dimensional image sensing, visualization and processing using integral imaging. Proc. IEEE 94, 591–607 (2006)

    Article  Google Scholar 

  12. Wang, T.-C., Efros, A.A., Ramamoorthi, R.: Depth estimation with occlusion modeling using light-field cameras. IEEE Trans. Pattern Anal. Mach. Intell. 38(11), 2170–2181 (2016)

    Article  Google Scholar 

  13. Xiao, X., Javidi, B., Dey, D.K.: Bayesian estimation of depth information in three-dimensional integral imaging. In: Three-Dimensional Imaging, Visualization, and Display (SPIE) Conference Series, vol. 9177, pp. 911714-1–911714-8 (2014)

    Google Scholar 

  14. Boykov, Y., Veksler, O., Zabih, R.: Fast approximate energy minimization via graph cuts. IEEE Trans. Pattern Anal. Mach. Intell. 23(11), 1222–1239 (2001)

    Article  Google Scholar 

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Acknowledgments

This work was supported by the Spanish Ministry of Economy and Competitiveness (MINECO) under the projects SEOSAT (ESP2013-48458-C4-3-P) and MTM2013-48371-C2-2-P, by the Generalitat Valenciana through the project PROMETEO-II-2014-062, and by the University Jaume I through the project UJI-P11B2014-09. B. Javidi would like to acknowledge support under NSF/IIS-1422179.

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Authors and Affiliations

  1. Institute of New Imaging Technologies - INIT, University Jaume I Castellon, 12071, Castellon de la Plana, Spain

    H. Espinos-Morato, P. Latorre-Carmona, J. Martinez Sotoca & F. Pla

  2. Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, 06269-4157, USA

    B. Javidi

  3. Mathematical Modelling and Numeric Simulation Group, Catholic University of Valencia, 46001, Valencia, Spain

    H. Espinos-Morato

Authors
  1. H. Espinos-Morato
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  2. P. Latorre-Carmona
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  3. J. Martinez Sotoca
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  4. F. Pla
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  5. B. Javidi
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Corresponding author

Correspondence to H. Espinos-Morato .

Editor information

Editors and Affiliations

  1. Universidade da Beira Interior , Covilhã, Portugal

    Luís A. Alexandre

  2. University Jaume I , Castellón, Spain

    José Salvador Sánchez

  3. University of the Algarve , Faro, Portugal

    João M. F. Rodrigues

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Espinos-Morato, H., Latorre-Carmona, P., Martinez Sotoca, J., Pla, F., Javidi, B. (2017). Combining Defocus and Photoconsistency for Depth Map Estimation in 3D Integral Imaging. In: Alexandre, L., Salvador Sánchez, J., Rodrigues, J. (eds) Pattern Recognition and Image Analysis. IbPRIA 2017. Lecture Notes in Computer Science(), vol 10255. Springer, Cham. https://doi.org/10.1007/978-3-319-58838-4_13

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  • DOI: https://doi.org/10.1007/978-3-319-58838-4_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-58837-7

  • Online ISBN: 978-3-319-58838-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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