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.
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Acknowledgments
We are indebted to Panoscan for acquisition of the panoramic images of Stanford’s campus, and to Mark Livingston and Irwin Sobel for calibration of these images. We further thank Mark Livingston for developing a viewer that renders a reconstructed scene using volumetric warping. We would also like to thank Steve Seitz and Chuck Dyer for numerous discussions regarding voxel coloring. Finally, we thank Fred Kitson and Ron Schafer for their continued support and encouragement of this research.
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© 2001 Springer-Verlag Berlin Heidelberg
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Slabaugh, G.G., Malzbender, T., Culbertson, W.B. (2001). Volumetric Warping for Voxel Coloring on an Infinite Domain. In: Pollefeys, M., Van Gool, L., Zisserman, A., Fitzgibbon, A. (eds) 3D Structure from Images — SMILE 2000. SMILE 2000. Lecture Notes in Computer Science, vol 2018. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45296-6_8
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DOI: https://doi.org/10.1007/3-540-45296-6_8
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