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Slabaugh, G.G.; Malzbender, T.; Culbertson, W.B. (2000)
Publisher: Springer
Languages: English
Types: Part of book or chapter of book
Subjects: QA75, TR

Classified by OpenAIRE into

ACM Ref: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, ComputingMethodologies_COMPUTERGRAPHICS
arxiv: Computer Science::Graphics
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.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • 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.
    • 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.
    • 3. N. Greene, “Environment Mapping and Other Applications of World Projections,” IEEE Computer Graphics and Applications, pp. 21 - 29, Nov. 1986.
    • 4. M. Kimura, H. Satio, and T. Kanade, “3D Voxel Construction Based on Epipolar Geometry,” Proc. ICIP, pp. 135 - 139, 1999.
    • 5. K. Kutulakos and S. Seitz, “A Theory of Shape by Space Carving,” Proc. ICCV, pp. 307 - 314, 1999.
    • 6. H. Saito and T. Kanade, “Shape Reconstruction in Projective Grid Space from Large Number of Images,” Proc. CVPR, pp. 49 - 54, 1999.
    • 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.
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  • No similar publications.

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