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  On Stochastic Methods for Surface Reconstruction

Saleem, W., Schall, O., Patanè, G., Belyaev, A., & Seidel, H.-P. (2007). On Stochastic Methods for Surface Reconstruction. The Visual Computer, 23(6), 381-395. doi:10.1007/s00371-006-0094-3.

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https://rdcu.be/dINpQ (Publisher version)
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 Creators:
Saleem, Waqar1, Author           
Schall, Oliver1, Author           
Patanè, Giuseppe1, Author           
Belyaev, Alexander1, Author           
Seidel, Hans-Peter1, Author                 
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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 Abstract: In this article, we present and discuss three statistical methods for Surface
Reconstruction. A typical input to a Surface Reconstruction technique consists
of a large set of points that has been sampled from a smooth surface and
contains uncertain data in the form of noise and outliers. We first present a
method that filters out uncertain and redundant information yielding a more
accurate and economical surface representation. Then we present two methods,
each of which converts the input point data to a standard shape representation;
the first produces an implicit representation while the second yields a
triangle mesh.

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Language(s): eng - English
 Dates: 2008-02-282007
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: eDoc: 356596
DOI: 10.1007/s00371-006-0094-3
Other: Local-ID: C12573CC004A8E26-9E5BBC343549D4F3C125729800496715-tvc07sspbs
BibTex Citekey: Saleem-et-al_Vis.Comp.07
 Degree: -

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Title: The Visual Computer
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Berlin : Springer International
Pages: - Volume / Issue: 23 (6) Sequence Number: - Start / End Page: 381 - 395 Identifier: ISSN: 0178-2789
CoNE: https://pure.mpg.de/cone/journals/resource/954925487792