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Reconstruction of volumetric reflectance using spatio-sequential frequency correlation imaging

Published:04 December 2018Publication History

ABSTRACT

In this paper, we propose a novel pro-cam technique for reconstruction of the volumetric reflectance inside an object. The key concept is use of spatio-sequentially modulated illumination to extract only the required signal at a 3D point. We discovered an effect where a projector and camera pair with different focal lengths naturally produced a spatial frequency modulation. By combining this effect with a direct conversion technique to demodulate the signals, the resulting spatio-sequential frequency correlation enables reconstruction of the reflectance at a 3D point within the object. Experimental results based on both synthetic and real data show that the proposed method can reconstruct volumetric reflectance discretely.

References

  1. Supreeth Achar and Srinivasa G Narasimhan. 2014. Multi focus structured light for recovering scene shape and global illumination. In European Conference on Computer Vision. Springer, 205--219.Google ScholarGoogle ScholarCross RefCross Ref
  2. F. M. Colebrook. 1924. Homodyne. Wireless World and Radio Rev. 13 (1924), 645--648.Google ScholarGoogle Scholar
  3. Joris Dik, Koen Janssens, Geert Van Der Snickt, Luuk van der Loeff, Karen Rickers, and Marine Cotte. 2008. Visualization of a lost painting by Vincent van Gogh using synchrotron radiation based X-ray fluorescence elemental mapping. Analytical chemistry 80, 16 (2008), 6436--6442.Google ScholarGoogle Scholar
  4. Christian Fuchs, Michael Heinz, Marc Levoy, Hans-Peter Seidel, and Hendrik Lensch. 2008. Combining confocal imaging and descattering. In Computer Graphics Forum, Vol. 27. Wiley Online Library, 1245--1253. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. D Gavrilov, C Ibarra-Castanedo, E Maeva, O Grube, X Maldague, and R Maev. 2008. Infrared methods in noninvasive inspection of artwork. In Proceedings of 9th international conference on NDT of art. 25--30.Google ScholarGoogle Scholar
  6. Jason Geng. 2011. Structured-light 3D surface imaging: a tutorial. Advances in Optics and Photonics 3, 2 (2011), 128--160.Google ScholarGoogle ScholarCross RefCross Ref
  7. Shree K Nayar, Gurunandan Krishnan, Michael D Grossberg, and Ramesh Raskar. 2006. Fast separation of direct and global components of a scene using high frequency illumination. In ACM Transactions on Graphics (TOG), Vol. 25. ACM, 935--944. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Kenichiro Tanaka, Yasuhiro Mukaigawa, Hiroyuki Kubo, Yasuyuki Matsushita, and Yasushi Yagi. 2017. Recovering Inner Slices of Layered Translucent Objects by Multi-Frequency Illumination. IEEE transactions on pattern analysis and machine intelligence 39, 4 (2017), 746--757. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Reconstruction of volumetric reflectance using spatio-sequential frequency correlation imaging

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      • Published in

        cover image ACM Conferences
        SA '18: SIGGRAPH Asia 2018 Technical Briefs
        December 2018
        135 pages
        ISBN:9781450360623
        DOI:10.1145/3283254

        Copyright © 2018 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 4 December 2018

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