Feature Tracking by Two-Step Optimization
Tracking the temporal evolution of features in time-varying data is a key method in visualization. For typical feature definitions, such as vortices, objects are sparsely distributed over the data domain. In this paper, we present a novel approach for tracking both sparse and space-filling features....
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Détails bibliographiques
| Publié dans: | IEEE transactions on visualization and computer graphics. - 1996. - 26(2020), 6 vom: 29. Juni, Seite 2219-2233
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| Auteur principal: |
Schnorr, Andrea
(Auteur) |
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| Autres auteurs: |
N Helmrich, Dirk,
Denker, Dominik,
Kuhlen, Torsten W,
Hentschel, Bernd |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2020
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| Accès à la collection: | IEEE transactions on visualization and computer graphics
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| Sujets: | Journal Article |
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