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Reconstructing polyhedral models of architectural scenes from photographs

  • Camillo J. Taylor
  • Paul E. Debevec
  • Jitendra Malik
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1065)

Abstract

This paper presents a new image-based modeling method that facilitates the recovery of accurate polyhedral models of architectural scenes. The method is particularly effective because it exploits many of the constraints that are characteristic of architectural scenes. This work is placed in the context of the FaÇade project, whose goal is to use images to produce photo-realistic novel views of architectural scenes.

Keywords

Camera Position Reconstruction Problem Coarse Model Polyhedral Model Computer Vision Community 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. [DTM96]
    Paul E. Debevec, Camillo J. Taylor, and Jitendra Malik. Modeling and rendering architecture from photographs: A hybrid geometry-and image-based approach. Technical Report UCB//CSD-96-893, U.C. Berkeley, CS Division, January 1996.Google Scholar
  2. [Fau93]
    Olivier Faugeras. Three-Dimensional Computer Vision. MIT Press, 1993.Google Scholar
  3. [FLR+95]
    Olivier Faugeras, Stéphane Laveau, Luc Robert, Gabriella Csurka, and Cyril Zeller. 3-d reconstruction of urban scenes from sequences of images. Technical Report Rapport de recherche 2572, INRIA Sophia-Antipolis, June 1995.Google Scholar
  4. [TK92]
    Carlo Tomasi and Takeo Kanade. Shape and motion from image streams under orthography: a factorization method. International Journal of Computer Vision, 9(2):137–154, November 1992.Google Scholar
  5. [TK94]
    Camillo J. Taylor and David J. Kriegman. Minimization on the lie group so(3) and related manifolds. Technical Report 9405, Center for Systems Science, Dept. of Electrical Engineering, Yale University, New Haven, CT, April 1994.Google Scholar
  6. [TK95]
    Camillo J. Taylor and David J. Kriegman. Structure and motion from line segments in multiple images. IEEE Trans. Pattern Anal. Machine Intell., 17(11), November 1995.Google Scholar
  7. [WHA93]
    Juyang Weng, Thomas S. Huang, and Narendra Ahuja. Motion and Structure from Image Sequences. Springer Series on Information Sciences. Springer-Verlag, Berlin, 1993.Google Scholar
  8. [WHA89]
    J. Weng, T.S. Huang, and N. Ahuja. Motion and structure from two perspective views: Algorithms, error analysis, and error estimation. IEEE Trans. Pattern Anal. Machine Intell., 11(5):451–476, May 89.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1996

Authors and Affiliations

  • Camillo J. Taylor
    • 1
  • Paul E. Debevec
    • 1
  • Jitendra Malik
    • 1
  1. 1.EECS DepartmentU.C. BerkeleyBerkeley

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