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          Institute: MPI für Informatik     Collection: Computer Graphics Group     Display Documents



ID: 356531.0, MPI für Informatik / Computer Graphics Group
3D Reconstruction of Reflection Nebulae from a Single Image
Authors:Lintu, Andrei; Hoffmann, Lars; Magnor, Marcus; Lensch, Hendrik P. A.; Seidel, Hans-Peter
Language:English
Publisher:Max-Planck-Institut für Informatik
Place of Publication:Saarbrücken, Germany
Date of Publication (YYYY-MM-DD):2007
Title of Proceedings:Vision, Modeling, and Visualization 2007 : proceedings
Start Page:109
End Page:116
Place of Conference/Meeting:Saarbrücken, Germany
(Start) Date of Conference/Meeting
 (YYYY-MM-DD):
2007-11-07
End Date of Conference/Meeting 
 (YYYY-MM-DD):
2007-11-09
Audience:Experts Only
Intended Educational Use:No
Abstract / Description: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.
Last Change of the Resource (YYYY-MM-DD):2008-03-14
External Publication Status:published
Document Type:Conference-Paper
Communicated by:Hans-Peter Seidel
Affiliations:MPI für Informatik/Computer Graphics Group
Identifiers:LOCALID:C12573CC004A8E26-6A5B8EDF63DE6335C12573C90036CE36-...
ISBN:978-3-940739-00-1
Full Text:
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