Max-Planck-Institut für Informatik
max planck institut
informatik
mpii logo Minerva of the Max Planck Society
 

MPI-INF D4 Publications :: Thesis :: Fuchs, Christian


MPI-INF D4 Publications
Show all entries of:this year (2019)last year (2018)two years ago (2017)Open in Notes
Action:login to update  Library locked

Thesis - Doctoral dissertation | @PhdThesis | Doktorarbeit


Author
Author(s)*:Fuchs, Christian
BibTeX citekey*:Fuchs2009:Thesis
Language:English

Title, School
Title*:Capturing and Reconstructing the Appearance of Complex 3D Scenes
School:Universität des Saarlandes
Type of Thesis*:Doctoral dissertation
Month:March
Year:2009

Publisher
Publishers Name:Universität des Saarlandes
Publishers Address:Saarbrücken

Note, Abstract, Copyright
LaTeX Abstract:In this thesis, we present our research on new acquisition methods for

reflectance properties of real-world objects. Specifically, we first
show a method for acquiring spatially varying densities in volumes of
translucent, gaseous material with just a single image. This makes the
method applicable to constantly changing phenomena like smoke without
the use of high-speed camera equipment.

Furthermore, we investigated how two well known techniques --
synthetic aperture confocal imaging and algorithmic descattering --
can be combined to help looking through a translucent medium like fog
or murky water. We show that the depth at which we can still see an
object embedded in the scattering medium is increased. In a related
publication, we show how polarization and descattering based on
phase-shifting can be combined for efficient 3D~scanning of translucent
objects. Normally, subsurface scattering hinders the range estimation
by offsetting the peak intensity beneath the surface away from the
point of incidence. With our method, the subsurface scattering is
reduced to a minimum and therefore reliable 3D~scanning is made possible.

Finally, we present a system which recovers surface geometry,
reflectance properties of opaque objects, and prevailing lighting
conditions at the time of image capture from just a small number of
input photographs. While there exist previous approaches to recover
reflectance properties, our system is the first to work on images
taken under almost arbitrary, changing lighting conditions. This
enables us to use images we took from a community photo collection
website.

Keywords:Relighting, Computational Photography, Reflectance, BRDF, Geometry, Reconstruction, Wavelet, Community Photo
Download Access Level:Intranet

Referees, Status, Dates
1. Referee:Hans-Peter Seidel
2. Referee:Hendrik Lensch, Michael Gösele
Status:Completed
Date Kolloquium:29 May 2009
Chair Kolloquium:Philipp Slusallek

Correlation
MPG Unit:Max-Planck-Institut für Informatik
MPG Subunit:Computer Graphics Group
Appearance:MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort


BibTeX Entry:
@PHDTHESIS{Fuchs2009:Thesis,
AUTHOR = {Fuchs, Christian},
TITLE = {Capturing and Reconstructing the Appearance of Complex 3D Scenes},
PUBLISHER = {Universität des Saarlandes},
SCHOOL = {Universit{\"a}t des Saarlandes},
YEAR = {2009},
TYPE = {Doctoral dissertation}
ADDRESS = {Saarbr{\"u}cken},
MONTH = {March},
}



Entry last modified by Anja Becker, 03/17/2010
Hide details for Edit History (please click the blue arrow to see the details)Edit History (please click the blue arrow to see the details)

Editor(s)
[Library]
Created
02/11/2010 10:44:07 AM
Revisions
2.
1.
0.

Editor(s)
Anja Becker
Christian Fuchs
Ellen Fries

Edit Dates
17.03.2010 10:54:15
02/15/2010 08:15:03 AM
02/11/2010 10:46:40 AM