Gaussian process latent variable models for human pose estimation
We describe a method for recovering 3D human body pose from silhouettes. Our model is based on learning a latent space using the Gaussian Process Latent Variable Model (GP-LVM) [1] encapsulating both pose and silhouette features Our method is generative, this allows us to model the ambiguities of a...
| Principais autores: | , , |
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| Formato: | Conference item |
| Idioma: | English |
| Publicado em: |
Springer
2008
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