Real-Time Simultaneous Pose and Shape Estimation for Articulated Objects Using a Single Depth Camera
In this paper we present a novel real-time algorithm for simultaneous pose and shape estimation for articulated objects, such as human beings and animals. The key of our pose estimation component is to embed the articulated deformation model with exponential-maps-based parametrization into a Gaussia...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 38(2016), 8 vom: 23. Aug., Seite 1517-32
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| 1. Verfasser: |
Ye, Mao
(VerfasserIn) |
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| Weitere Verfasser: |
Shen, Yang,
Du, Chao,
Pan, Zhigeng,
Yang, Ruigang |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2016
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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