Learning the Clustering of Longitudinal Shape Data Sets into a Mixture of Independent or Branching Trajectories
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-020-01337-8
Abstract: Given repeated observations of several subjects over time, i.e. a longitudinal data set, this paper introduces a new model to learn a classification of the shapes progression in an unsupervised setting: we automatically cluster a… read more here.
Keywords: data sets; clustering longitudinal; shape; learning clustering ... See more keywords
Longitudinal shape evolution of Ag2S nanoparticles from nanospheres, rhombic dodecahedrons, nanorods, to nanocubes.
Sign Up to like & getrecommendations! Published in 2020 at "Chemical communications"
DOI: 10.1039/d0cc02465a
Abstract: Longitudinal shape evolution of Ag2S nanoparticles is reported. Initially 9 nm nanospheres turn into faceted rhombic dodecahedrons and elongate to minimize surface energy. The elongated rhombic dodecahedrons show oriented attachments to -104 directions sequentially yielding… read more here.
Keywords: evolution ag2s; rhombic dodecahedrons; shape evolution; longitudinal shape ... See more keywords
4D Atlas: Statistical Analysis of the Spatio-Temporal Variability in Longitudinal 3D Shape Data.
Sign Up to like & getrecommendations! 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… read more here.
Keywords: variability longitudinal; analysis; longitudinal shape; statistical analysis ... See more keywords