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Proceedings Paper

Light transport matrix recovery for nearly planar objects
Author(s): Niranjan Thanikachalam; Loic Baboulaz; Paolo Prandoni; Martin Vetterli
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Paper Abstract

The light transport matrix has become a powerful tool for scene relighting, owing to the versatility of its representational power of various light transport phenomenon. We argue that scenes with an almost planar surface geometry, even with significant amounts of surface roughness, have a banded structure in the light transport matrix. In this paper, we propose a method that exploits this structure of the light transport matrix and provide significant savings in terms of both acquisition time and computation time, while retaining a high accuracy. We validate the proposed algorithm, by recovering the light transport of real objects that exhibit multiple scattering and with rendered scenes exhibiting inter-reflections.

Paper Details

Date Published: 7 March 2014
PDF: 7 pages
Proc. SPIE 9023, Digital Photography X, 90230Q (7 March 2014); doi: 10.1117/12.2038909
Show Author Affiliations
Niranjan Thanikachalam, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
Loic Baboulaz, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
Paolo Prandoni, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
Martin Vetterli, Ecole Polytechnique Fédérale de Lausanne (Switzerland)

Published in SPIE Proceedings Vol. 9023:
Digital Photography X
Nitin Sampat; Radka Tezaur; Sebastiano Battiato; Boyd A. Fowler, Editor(s)

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