4D Atlas : Statistical Analysis of the Spatiotemporal Variability in Longitudinal 3D Shape Data
We propose a novel framework to learn the spatiotemporal variability in longitudinal 3D shape data sets, which contain observations of objects that evolve and deform over time. This problem is challenging since surfaces come with arbitrary parameterizations and thus, they need to be spatially regist...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 2 vom: 29. Feb., Seite 1335-1352
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| 1. Verfasser: |
Laga, Hamid
(VerfasserIn) |
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| Weitere Verfasser: |
Padilla, Marcel,
Jermyn, Ian H,
Kurtek, Sebastian,
Bennamoun, Mohammed,
Srivastava, Anuj |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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