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Conference Paper

3D Reconstruction of Reflection Nebulae from a Single Image

MPS-Authors
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Lintu,  Andrei
Computer Graphics, MPI for Informatics, Max Planck Society;
Graphics - Optics - Vision, MPI for Informatics, Max Planck Society;

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Magnor,  Marcus
Graphics - Optics - Vision, MPI for Informatics, Max Planck Society;

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Lensch,  Hendrik P. A.
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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Citation

Lintu, A., Hoffmann, L., Magnor, M., Lensch, H. P. A., & Seidel, H.-P. (2007). 3D Reconstruction of Reflection Nebulae from a Single Image. In H. P. A. Lensch, B. Rosenhahn, H.-P. Seidel, P. Slusallek, & J. Weickert (Eds.), Vision, Modeling, and Visualization 2007: Proceedings (pp. 109-116). Saarbrücken, Germany: Max-Planck-Institut für Informatik.


Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-1DCE-C
Abstract
This paper presents a method for reconstructing the
3D distribution of dust densities in reflection nebulae
based on a single input image using an analysisby-
synthesis approach. In a reflection nebula, light
is typically emitted from a central star and then scattered
and partially absorbed by the nebula’s dust
particles. We model the light transport in this kind
of nebulae by considering absorption and single
scattering only. While the core problem of reconstructing
an arbitrary 3D volume of dust particles
from a 2D image would be ill-posed we demonstrate
how the special configuration of light transport
paths in reflection nebulae allows us to produce
non-exact but plausible 3D volumes. Our reconstruction
is driven by an iterative non-linear optimization
method, which renders an image in each
step with the current estimate of dust densities and
then updates the density values to minimize the error
to the input image. The recovered volumetric
datasets can be used in astrophysical research as
well as planetarium visualizations.