Multivariate analysis of curvature estimators
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F17%3A43930520" target="_blank" >RIV/49777513:23520/17:43930520 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1080/16864360.2016.1199756" target="_blank" >http://dx.doi.org/10.1080/16864360.2016.1199756</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/16864360.2016.1199756" target="_blank" >10.1080/16864360.2016.1199756</a>
Alternative languages
Result language
angličtina
Original language name
Multivariate analysis of curvature estimators
Original language description
Principal curvature is one of the defining features of surfaces studied in differential geometry. While well-defined and easy to evaluate for smooth surfaces, it cannot be evaluated exactly if the surface is represented by a polygon mesh, unless some special conditions apply. Nevertheless, estimating the curvature of a surface mesh is a crucial step in common mesh processing algorithms, such as mesh segmentation, mesh smoothing, remeshing and others. While a wealth of approaches for estimating the curvature has been proposed in the literature, aiming at the best possible precision of the estimation, an objective study identifying the strengths and weaknesses of the different methods was usually lacking. We present results of a comprehensive study focused on different aspects of curvature estimation. We extend some of the estimators in order to match properties of others and thus provide comparable results. The results of the study indicate that currently there is no one universally optimal method of curvature estimation. Choosing an appropriate curvature estimation algorithm is highly application specific, and we provide the guidance required for making such choice
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Computer-aided design and applications
ISSN
1686-4360
e-ISSN
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Volume of the periodical
14
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
12
Pages from-to
58-69
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-84975321393