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Adaptive Acquisition of Lumigraphs from Synthetic Scenes

MPG-Autoren
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Schirmacher,  Hartmut
Computer Graphics, MPI for Informatics, Max Planck Society;

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Heidrich,  Wolfgang
Computer Graphics, MPI for Informatics, Max Planck Society;

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Seidel,  Hans-Peter       
Computer Graphics, MPI for Informatics, Max Planck Society;

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Zitation

Schirmacher, H., Heidrich, W., & Seidel, H.-P. (1999). Adaptive Acquisition of Lumigraphs from Synthetic Scenes. In P. Brunet, & R. Scopigno (Eds.), Proceedings of the 20th Annual Conference of the European Association of Computer Graphics (Eurographics-99) (pp. 151-160). Oxford, USA: Blackwell.


Zitierlink: https://hdl.handle.net/11858/00-001M-0000-000F-36AC-4
Zusammenfassung
Light fields and Lumigraphs are capable of rendering scenes of arbitrary
geometrical or illumination complexity
in real time. They are thus interesting ways of interacting with both recorded
real-world and high-quality synthetic
scenes.

Unfortunately, both light fields and Lumigraph rely on a dense sampling of the
illumination to provide a good
rendering quality. This induces high costs both in terms of storage
requirements and computational resources
for the image acquisition. Techniques for acquiring adaptive light field and
Lumigraph representations are thus
mandatory for practical applications.

In this paper we present a method for the adaptive acquisition of images for
Lumigraphs from synthetic scenes.
Using image warping to predict the potential improvement in image quality when
adding a certain view, we decide
which new views of the scene should be rendered and added to the light field.
This a-priori error estimator accounts
for both visibility problems and illumination effects such as specular
highlights.