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Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2022.3163720
Abstract: We propose a novel framework to learn the spatiotemporal variability in longitudinal 3D shape datasets composed of objects that deform over time. This problem is challenging since deforming objects, called 4D surfaces, come with arbitrary…
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Keywords:
variability longitudinal;
analysis;
longitudinal shape;
statistical analysis ... See more keywords