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Author, Editor

Author(s):

Lee, Yunjin
Yoon, Mincheol
Lee, Seungyong
Ivrissimtzis, Ioannis
Seidel, Hans-Peter

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Not MPG Author(s):

Lee, Yunjin
Yoon, Mincheol
Lee, Seungyong
Ivrissimtzis, Ioannis

Editor(s):

Kim, Myung-Soo
Shimada, Kenji

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dblp

Not MPII Editor(s):

Kim, Myung-Soo
Shimada, Kenji

BibTeX cite key*:

Lee-gmp06

Title, Booktitle

Title*:

Ensembles for Normal and Surface Reconstructions

Booktitle*:

Geometric Modeling and Processing - GMP 2006

Event, URLs

URL of the conference:


URL for downloading the paper:

http://www.springerlink.com/content/r7v8p1767h871r51/fulltext.pdf

Event Address*:

Pittsburgh, Pennsylvania, USA

Language:

English

Event Date*
(no longer used):


Organization:


Event Start Date:

26 July 2006

Event End Date:

28 July 2006

Publisher

Name*:

Springer

URL:

http://www.springer.com/

Address*:

Berlin, Germany

Type:


Vol, No, Year, pp.

Series:

Springer Lecture Notes in Computer Science

Volume:

4077

Number:


Month:


Pages:

17-33

Year*:

2006

VG Wort Pages:


ISBN/ISSN:

3-540-36711-X

Sequence Number:


DOI:

10.1007/11802914_2



Note, Abstract, ©


(LaTeX) Abstract:

The majority of the existing techniques for surface reconstruction and the closely related problem of normal estimation are deterministic. Their main advantages are the speed and, given a reasonably good initial input, the high quality of the reconstructed surfaces. Nevertheless, their deterministic nature may hinder them from effectively handling incomplete data with noise and outliers. In our previous work [1], we applied a statistical technique, called ensembles, to the problem of surface reconstruction. We showed that an ensemble can improve the performance of a deterministic algorithm by putting it into a statistics based probabilistic setting. In this paper, with several experiments, we further study the suitability of ensembles in surface reconstruction, and also apply ensembles to normal estimation. We experimented with a widely used normal estimation technique [2] and Multi-level Partitions of Unity implicits for surface reconstruction [3], showing that normal and surface ensembles can successfully be combined to handle noisy point sets.

URL for the Abstract:

http://www.springerlink.com/content/r7v8p1767h871r51



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{Lee-gmp06,
AUTHOR = {Lee, Yunjin and Yoon, Mincheol and Lee, Seungyong and Ivrissimtzis, Ioannis and Seidel, Hans-Peter},
EDITOR = {Kim, Myung-Soo and Shimada, Kenji},
TITLE = {Ensembles for Normal and Surface Reconstructions},
BOOKTITLE = {Geometric Modeling and Processing - GMP 2006},
PUBLISHER = {Springer},
YEAR = {2006},
VOLUME = {4077},
PAGES = {17--33},
SERIES = {Springer Lecture Notes in Computer Science},
ADDRESS = {Pittsburgh, Pennsylvania, USA},
ISBN = {3-540-36711-X},
ISBN = {0302-9743},
DOI = {10.1007/11802914_2},
}


Entry last modified by Uwe Brahm, 04/27/2007
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Editor(s)
Alexander Belyaev
Created
03/09/2007 03:42:33 PM
Revisions
2.
1.
0.

Editor(s)
Uwe Brahm
Uwe Brahm
Alexander Belyaev

Edit Dates
2007-04-27 11:33:35
2007-04-27 11:32:26
03/09/2007 03:42:33 PM

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