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Author, Editor(s)

Author(s):

Yamauchi, Hitoshi
Gumhold, Stefan
Zayer, Rhaleb
Seidel, Hans-Peter

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BibTeX cite key*:

YamauchiMSDGC2005

Title

Title*:

Mesh Segmentation Driven by Gaussian Curvature

Journal

Journal Title*:

The Visual Computer

Journal's URL:

http://www.springerlink.com/(znerm02s10ibagvvq5zr5dvg)/app/home/journal.asp?referrer=parent&backto=linkingpublicationresults,1:100388,1

Download URL
for the article:

http://www.springerlink.com/(ofpbv5vcdjie5izcbxov5auc)/app/home/contribution.asp?referrer=parent&backto=issue,18,41;journal,2,88;linkingpublicationresults,1:100388,1

Language:

English

Publisher

Publisher's
Name:

Springer

Publisher's URL:

http://www.springerlink.com/

Publisher's
Address:

Heidelberg, Germany

ISSN:

0178-2789

Vol, No, pp, Date

Volume*:

21

Number:

8-10

Publishing Date:

September 2005

Pages*:

649-658

Number of
VG Pages:


Page Start:

649

Page End:

658

Sequence Number:


DOI:


Note, Abstract, ©

Note:


(LaTeX) Abstract:

Mesh parameterization is a fundamental problem in computer graphics as
it allows for texture mapping and facilitates a lot of mesh processing
tasks. Although there exists a variety of good parameterization methods
for meshes that are topologically equivalent to a disc, the
segmentation into nicely parameterizable charts of higher genus meshes
has been studied less. In this paper we propose a new segmentation
method for the generation of charts that can be flattened
efficiently. The integrated Gaussian curvature is used to measure the

developability of a chart and a robust and simple scheme
is proposed to integrate the Gaussian curvature. The segmentation
approach evenly distributes Gaussian curvature over the charts and
automatically ensures disc-like topology of each chart. For numerical
stability, we use area on the Gauss map to represent Gaussian
curvature. Resulting parameterization shows that charts generated in
this way have less distortion compared to charts generated by other
methods.

URL for the Abstract:


Categories,
Keywords:

Mesh Segmentation, Gauss map, Gaussian Curvature, Parameterization, Gauss area, Region Growing

HyperLinks / References / URLs:


Copyright Message:


Personal Comments:


Download
Access Level:

Intranet

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:

@ARTICLE{YamauchiMSDGC2005,
AUTHOR = {Yamauchi, Hitoshi and Gumhold, Stefan and Zayer, Rhaleb and Seidel, Hans-Peter},
TITLE = {Mesh Segmentation Driven by Gaussian Curvature},
JOURNAL = {The Visual Computer},
PUBLISHER = {Springer},
YEAR = {2005},
NUMBER = {8-10},
VOLUME = {21},
PAGES = {649--658},
ADDRESS = {Heidelberg, Germany},
MONTH = {September},
ISBN = {0178-2789},
}


Entry last modified by Conny Liegl, 01/17/2006
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Editor(s)
Hitoshi Yamauchi
Created
10/17/2005 05:15:14 PM
Revisions
3.
2.
1.
0.
Editor(s)
Conny Liegl
Christine Kiesel
Hitoshi Yamauchi
Hitoshi Yamauchi
Edit Dates
17.01.2006 17:21:06
16.01.2006 16:03:31
2005/10/19 11:35:17
2005/10/17 17:15:14