Volumetric warping for voxel coloring on an infinite domain

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Abstract

Starting with a set of calibrated photographs taken of a scene, voxel coloring algorithms reconstruct three-dimensional surface models on a fnite spatial domain. In this paper, we present a method that warps the voxel space, so that the domain of the reconstruction extends to an fnnite or semi fnnite 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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Slabaugh, G. G., Malzbender, T., & Bruce Culbertson, W. (2001). Volumetric warping for voxel coloring on an infinite domain. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2018, pp. 109–123). Springer Verlag. https://doi.org/10.1007/3-540-45296-6_8

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