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Author, Editor

Author(s):

Fuchs, Martin
Blanz, Volker
Seidel, Hans-Peter

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Editor(s):

Deussen, Oliver
Keller, Alexander
Bala, Kavita
Dutré, Philip
Fellner, Dieter W.
Spencer, Stephen N.

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Not MPII Editor(s):

Deussen, Oliver
Keller, Alexander
Bala, Kavita
Dutré, Philip
Fellner, Dieter W.
Spencer, Stephen N.

BibTeX cite key*:

Fuchs2005b

Title, Booktitle

Title*:

Bayesian Relighting


BayesianRelighting-fin-electronic.pdf (30614.82 KB)

Booktitle*:

Rendering Techniques 2005: Eurographics Symposium on Rendering

Event, URLs

URL of the conference:

http://www.cgmi.inf.uni-konstanz.de/egsr2005/

URL for downloading the paper:


Event Address*:

Konstanz, Germany

Language:

English

Event Date*
(no longer used):


Organization:

Co-sponsored by ACM SIGGRAPH and EUROGRAPHICS Association

Event Start Date:

29 June 2005

Event End Date:

1 July 2005

Publisher

Name*:

Eurographics

URL:


Address*:

Aire-la-Ville, Switzerland

Type:


Vol, No, Year, pp.

Series:

Rendering Techniques

Volume:


Number:


Month:

July

Pages:

157-164

Year*:

2005

VG Wort Pages:

22

ISBN/ISSN:

3-905673-23-1

Sequence Number:


DOI:




Note, Abstract, ©


(LaTeX) Abstract:

We present a simple method for relighting real objects viewed from a
fixed camera position. Instead of setting up a calibrated
measurement device, such as a light stage, we manually sweep a spotlight
over the walls of a white room, illuminating the object indirectly.
In contrast
to previous methods, we use arbitrary and unknown angular distributions of
incoming light. Neither the incident light nor the reflectance function
need to be represented explicitly in our approach.\\
%
The new method relies on images of a probe object, for instance a black
snooker ball, placed near the target object. Pictures of the probe in a novel
illumination are decomposed into a linear combination of measured images of
the probe. Then, a linear combination of images of the target object with the
same coefficients produces a synthetic image with the new illumination. We
use a simple Bayesian approach to find the most plausible output image, given
the picture of the probe and the statistics
observed in the dataset of samples.\\
%
Our results for a variety of novel illuminations, including synthetic lighting
by relatively narrow light sources as well as natural illuminations,
demonstrate that the new technique is a
useful, low cost alternative to existing techniques for a broad range of
objects and materials.

Copyright Message:

(c) The Eurographics Association 2005


Download
Access Level:

Public

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:

@INPROCEEDINGS{Fuchs2005b,
AUTHOR = {Fuchs, Martin and Blanz, Volker and Seidel, Hans-Peter},
EDITOR = {Deussen, Oliver and Keller, Alexander and Bala, Kavita and Dutr{\'e}, Philip and Fellner, Dieter W. and Spencer, Stephen N.},
TITLE = {Bayesian Relighting},
BOOKTITLE = {Rendering Techniques 2005: Eurographics Symposium on Rendering},
PUBLISHER = {Eurographics},
YEAR = {2005},
ORGANIZATION = {Co-sponsored by ACM SIGGRAPH and EUROGRAPHICS Association},
PAGES = {157--164},
SERIES = {Rendering Techniques},
ADDRESS = {Konstanz, Germany},
MONTH = {July},
ISBN = {3-905673-23-1},
}


Entry last modified by Christine Kiesel, 02/12/2007
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Editor(s)
Martin Fuchs
Created
07/27/2005 12:06:45 AM
Revisions
3.
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Editor(s)
Christine Kiesel
Christine Kiesel
Christine Kiesel
Martin Fuchs
Edit Dates
12.02.2007 14:45:46
25.04.2006 15:48:58
09.01.2006 15:58:13
07/27/2005 12:06:52 AM
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