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Three Dimensional Reconstruction Using Vertical Constraints from a Photograph

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Advances in Visual Computing (ISVC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6455))

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Abstract

Two photographs are necessary to reconstruct three dimensions conventionally. A problem to reconstruct three dimensions from one piece of photograph is a poor setting problem, that a right solution cannot be found uniformly. Even if human watches one piece of photograph, human feels depth. This is so that human has prior knowledge. We propose a technique to reconstruct three dimensions from one piece of photograph in this paper. We use a rectangle and perpendicular relations between quadrangles for prior knowledge here. We actually reconstruct three dimensions from one piece of photograph and show the effectiveness.

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References

  1. Winston, P.H.: The Psychology of Computer Vision. McGraw-Hill Inc., New York (1975)

    Google Scholar 

  2. Shirai, Y.: A Context Sensitive Line Finder for Recognition of Polyhedra. Artif. Intel. 4(2), 95–120 (1973)

    Article  Google Scholar 

  3. Tsai, R.Y., Huang, T.S.: Uniqueness and estimation of three dimensional motion parameters of a rigid objects with curved surfaces. IEEE PAMI 6(1), 13–27 (1984)

    Article  Google Scholar 

  4. Hartley, R.I.: Stereo from uncalibrated cameras. In: CVPR, pp. 761–764 (1992)

    Google Scholar 

  5. Zhaing, Z.: Determining the epipolar geometry and its uncertainty: A reviews. IJCV 27(2), 161–195 (1998)

    Article  Google Scholar 

  6. Snavely, N., Seitz, S., Szeliski, R.: Photo Tourism: Exploring photo collections in 3D. In: ACM SIGGRAPH, pp. 835–846 (2006)

    Google Scholar 

  7. Snavely, N., Garg, R., Seitz, S.M., Szeliski, R.: Finding Paths through the World’s Photos. In: ACM SIGGRAPH, pp. 11–21 (2008)

    Google Scholar 

  8. Debevec, P.E., Taylor, C.J., Malik, J.: Modeling and Rendering Architecture from Photographs: A Hybrid Geometry and Image-Based Approach. In: SIGGRAPH 1996, pp. 11–20 (1996)

    Google Scholar 

  9. Criminisi, A., Reid, I.D., Zisserman, A.: Single View Metrology. International Journal of Computer Vision 40(2), 123–148 (2000)

    Article  MATH  Google Scholar 

  10. Wilczkowiak, M., Sturm, P.F., Boyer, E.: Using Geometric Constraints through Parallelepipeds for Calibration and 3D Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 27(2), 194–207 (2005)

    Article  Google Scholar 

  11. Hoiem, D., Efros, A.A., Hevert, M.: Automatic Photo Pop-up. In: ACM SIGGRAPH, pp. 577–584 (2005)

    Google Scholar 

  12. Saxena, A., Sun, M., Ng, A.Y.: Learning 3-D Scene Structure from a Single Still Image. In: ICCV 2007, pp. 1–8 (2007)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Faculty of Engineering, Yamaguchi University, Japan

    Satoru Morita

Authors
  1. Satoru Morita
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Nevada, 89557, Reno, NV, USA

    George Bebis

  2. NASA Ames Research Center, 94035, Moffett Field, CA, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, NV, USA

    Darko Koracin

  5. The Chinese University of Hong Kong, Shatin, Hong Kong, China

    Ronald Chung

  6. Dyna Vox Systems, Pittsburgh, PA, USA

    Riad Hammound

  7. King Saud University, Riyadh, Saudi Arabia

    Muhammad Hussain

  8. Hewlett Packard Labs, Paolo Alto, CA, USA

    Tan Kar-Han

  9. The Ohio State University, Columbus, OH, USA

    Roger Crawfis

  10. Virtual Reality Lab, EPFL, Lausanne, Switzerland

    Daniel Thalmann

  11. NASA Ames Research Center, Clifton Park, NY, USA

    David Kao

  12. Kitware, Clifton Park, NY, USA

    Lisa Avila

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© 2010 Springer-Verlag Berlin Heidelberg

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Morita, S. (2010). Three Dimensional Reconstruction Using Vertical Constraints from a Photograph. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2010. Lecture Notes in Computer Science, vol 6455. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17277-9_57

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  • DOI: https://doi.org/10.1007/978-3-642-17277-9_57

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17276-2

  • Online ISBN: 978-3-642-17277-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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