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Titlebook: Human Motion; Understanding, Model Bodo Rosenhahn,Reinhard Klette,Dimitris Metaxas Book 2008 Springer Science+Business Media B.V. 2008 3D.P

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發(fā)表于 2025-3-25 06:23:19 | 只看該作者
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發(fā)表于 2025-3-25 23:01:21 | 只看該作者
Combining Discrete and Continuous 3D Trackersrevious techniques. In our approach, two trackers work in parallel, and the coupling between them is based on the tracking error. We use a model-based continuous method to achieve accurate results and, in cases of failure, we reinitialize the model using our discrete tracker. This method maintains t
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發(fā)表于 2025-3-26 03:29:05 | 只看該作者
Graphical Models for Human Motion Modellingnsider a class of learned dynamic models cast in the framework of dynamic Bayesian networks (DBNs) applied to analysis and tracking of the human figure. While direct learning of DBN parameters is possible, Bayesian learning formalism suggests that hyperparametric model description that considers all
27#
發(fā)表于 2025-3-26 07:00:19 | 只看該作者
3D Human Motion Analysis in Monocular Video: Techniques and Challengesmetrics, video browsing and indexing, virtual reality or video surveillance. Analyzing videos of humans in unconstrained environments is an open and currently active research problem, facing outstanding scientific and computational challenges. The proportions of the human body vary largely across in
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發(fā)表于 2025-3-26 09:51:44 | 只看該作者
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發(fā)表于 2025-3-26 14:54:11 | 只看該作者
Topologically Constrained Isometric Embeddingc geometry of manifolds with complicated topology. Since our algorithm matches nonlocal structures, it is robust even to strong noise. We show experimental results on both synthetic and real data demonstrating the advantages of our approach over stateof- the-art manifold learning methods.
30#
發(fā)表于 2025-3-26 20:18:44 | 只看該作者
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