Mixture of Probabilistic Principal Component Analyzers for Shapes from Point Sets
Inferring a probability density function (pdf) for shape from a population of point sets is a challenging problem. The lack of point-to-point correspondences and the non-linearity of the shape spaces undermine the linear models. Methods based on manifolds model the shape variations naturally, howeve...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 40(2018), 4 vom: 05. Apr., Seite 891-904
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| 1. Verfasser: |
Gooya, Ali
(VerfasserIn) |
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| Weitere Verfasser: |
Lekadir, Karim,
Castro-Mateos, Isaac,
Pozo, Jose Maria,
Frangi, Alejandro F |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2018
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
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