English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  3D Reconstruction of Reflection Nebulae from a Single Image

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.

Item is

Files

show Files
hide Files
:
vmv2007-lintu-reflection-nebulae.pdf (Any fulltext), 5KB
 
File Permalink:
-
Name:
vmv2007-lintu-reflection-nebulae.pdf
Description:
-
OA-Status:
Visibility:
Private
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Lintu, Andrei1, 2, Author           
Hoffmann, Lars, Author
Magnor, Marcus2, Author           
Lensch, Hendrik P. A.1, Author           
Seidel, Hans-Peter1, Author           
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              
2Graphics - Optics - Vision, MPI for Informatics, Max Planck Society, ou_1116549              

Content

show
hide
Free keywords: -
 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.

Details

show
hide
Language(s): eng - English
 Dates: 2008-03-142007
 Publication Status: Issued
 Pages: -
 Publishing info: Saarbrücken, Germany : Max-Planck-Institut für Informatik
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 356531
Other: Local-ID: C12573CC004A8E26-6A5B8EDF63DE6335C12573C90036CE36-Lintu:2007:RNS
 Degree: -

Event

show
hide
Title: Untitled Event
Place of Event: Saarbrücken, Germany
Start-/End Date: 2007-11-07 - 2007-11-09

Legal Case

show

Project information

show

Source 1

show
hide
Title: Vision, Modeling, and Visualization 2007 : proceedings
Source Genre: Proceedings
 Creator(s):
Lensch, Hendrik P. A.1, Editor           
Rosenhahn, Bodo1, Editor           
Seidel, Hans-Peter1, Editor           
Slusallek, Philipp, Editor
Weickert, Joachim, Editor
Affiliations:
1 Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047            
Publ. Info: Saarbrücken, Germany : Max-Planck-Institut für Informatik
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 109 - 116 Identifier: ISBN: 978-3-940739-00-1