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Volumetric Warping for Voxel Coloring on an Infinite Domain

  • Gregory G. Slabaugh
  • Thomas Malzbender
  • W. Bruce Culbertson
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2018)

Abstract

Starting with a set of calibrated photographs taken of a scene, voxel coloring algorithms reconstruct three-dimensional surface models on a finite spatial domain. In this paper, we present a method that warps the voxel space, so that the domain of the reconstruction extends to an infinite or semi-infinite volume. Doing so enables the reconstruction of objects far away from the cameras, as well as reconstruction of a background environment. New views synthesized using the warped voxel space have improved photo-realism.

Keywords

Warping Function Reconstruction Volume Interior Space Epipolar Geometry Outdoor Scene 
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.

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References

  1. 1.
    J. Blinn and M. Newell, “Texture and Reflection on Computer Generated Images,” Communications of ACM, Vol. 19, No. 10, pp. 542–547, Oct. 1976.Google Scholar
  2. 2.
    W. B. Culbertson, T. Malzbender, and G. Slabaugh, “Generalized Voxel Coloring,” Vision Algorithms: Theory and Practice, Springer-Verlag Lecture Notes in Computer Science, pp. 100–115, 1999.Google Scholar
  3. 3.
    N. Greene, “Environment Mapping and Other Applications of World Projections, ” IEEE Computer Graphics and Applications, pp. 21–29, Nov. 1986.Google Scholar
  4. 4.
    M. Kimura, H. Satio, and T. Kanade, “3D Voxel Construction Based on Epipolar Geometry” Proc. ICIP, pp. 135–139, 1999.Google Scholar
  5. 5.
    K. Kutulakos and S. Seitz, “A Theory of Shape by Space Carving,” Proc. ICCV,pp. 307–314, 1999.Google Scholar
  6. 6.
    H. Saito and T. Kanade, “Shape Reconstruction in Projective Grid Space from Large Number of Images,” Proc. CVPR, pp. 49–54, 1999.Google Scholar
  7. 7.
    S. Seitz and C. Dyer, “Photorealistic Scene Reconstruction by Voxel Coloring,” International Journal of Computer Vision, Vol. 35, No. 2, pp. 151–173, Feb. 1999.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Gregory G. Slabaugh
    • 1
  • Thomas Malzbender
    • 2
  • W. Bruce Culbertson
    • 2
  1. 1.School of Electrical and Computer EngineeringGeorgia Institute of TechnologyAtlanta
  2. 2.Client and Media Systems LabHewlett-Packard LaboratoriesPalo Alto

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