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...
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Détails bibliographiques
Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 2 vom: 31. Feb., Seite 1335-1352
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Auteur principal: |
Laga, Hamid
(Auteur) |
Autres auteurs: |
Padilla, Marcel,
Jermyn, Ian H,
Kurtek, Sebastian,
Bennamoun, Mohammed,
Srivastava, Anuj |
Format: | Article en ligne
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Langue: | English |
Publié: |
2023
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Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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Sujets: | Journal Article |