Localized Components Analysis (LoCA) is a new method for describing surface shape variation in an ensemble of objects using a linear subspace of spatially localized shape components. In contrast to earlier methods, LoCA optimizes explicitly for localized components and allows a flexible trade-off be...
Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 31(2009), 8 vom: 21. Aug., Seite 1510-6
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| Auteur principal: |
Alcantara, Dan A
(Auteur) |
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| Autres auteurs: |
Carmichael, Owen,
Harcourt-Smith, Will,
Sterner, Kirstin,
Frost, Stephen R,
Dutton, Rebecca,
Thompson, Paul,
Delson, Eric,
Amenta, Nina |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2009
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article
Research Support, U.S. Gov't, Non-P.H.S. |
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