| Téléchargement | - Voir le manuscrit accepté : Semi-Automatic Prediction of Landmarks on Human Models in Varying Poses (PDF, 859 Kio)
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| DOI | Trouver le DOI : https://doi.org/10.1109/CRV.2010.1 |
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| Auteur | Rechercher : Wuhrer, Stefanie1; Rechercher : Ben Azouz, Zouhour1; Rechercher : Shu, Chang1 |
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| Affiliation | - Conseil national de recherches du Canada. Institut de technologie de l'information du CNRC
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| Format | Texte, Article |
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| Conférence | 7th Canadian Conference on Computer and Robot Vision, May 31-June 2, 2010, Ottawa, Ontario, Canada |
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| Sujet | Information and Communications Technologies |
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| Résumé | We present an algorithm to predict landmarks on 3D human scans in varying poses. Our method is based on learning bending-invariant landmark properties. We also learn the spatial relationships between pairs of landmarks using canonical forms. The information is modeled by a Markov network, where each node of the network corresponds to a landmark position and where each edge of the network represents the spatial relationship between a pair of landmarks. We perform probabilistic inference over the Markov network to predict the landmark locations on human body scans in varying poses. We evaluated the algorithm on 200 models with different shapes and poses. The results show that most landmarks are predicted well. |
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| Date de publication | 2010-05-31 |
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| Dans | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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| Numéro NPARC | 15261150 |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | 67302e5f-8727-4e19-ac88-34b089143a24 |
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| Enregistrement créé | 2010-06-10 |
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| Enregistrement modifié | 2020-06-04 |
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