Estimation of differential quantities using Hermite RBF interpolation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F18%3A43952915" target="_blank" >RIV/49777513:23520/18:43952915 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/s00371-017-1438-x" target="_blank" >http://dx.doi.org/10.1007/s00371-017-1438-x</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s00371-017-1438-x" target="_blank" >10.1007/s00371-017-1438-x</a>
Alternative languages
Result language
angličtina
Original language name
Estimation of differential quantities using Hermite RBF interpolation
Original language description
Curvature is an important geometric property in computer graphics that provides information about the character of object surfaces. The exact curvature can only be calculated for a limited set of surface descriptions. Most of the time, we deal with triangles, point sets or some other discrete representation of the surface. For those, curvature can only be estimated. However, surfaces can be fitted by some kind of interpolation function and from it, curvature can be calculated directly. This paper proposes a method for curvature estimation and normal vector re-estimation based on surface fitting using Hermite Radial Basis Function interpolation. Hermite variation uses not only control points, but normal vectors at those points as well. This leads to a better and more robust interpolation than if only control points are used. Once the interpolant is obtained, the curvature and other possible properties can be directly computed using known approaches. The proposed algorithm was tested on several explicit and implicit functions, and it outperforms current state-of-the-art methods if exact normals are available. For normals calculated directly from a triangle mesh, the proposed algorithm works on par with existing state-of-the-art methods.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science 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
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
The Visual Computer
ISSN
0178-2789
e-ISSN
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Volume of the periodical
34
Issue of the periodical within the volume
12
Country of publishing house
DE - GERMANY
Number of pages
15
Pages from-to
1645-1659
UT code for WoS article
000448487400003
EID of the result in the Scopus database
2-s2.0-85029173217