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