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...
| Main Authors: | , , |
|---|---|
| Formato: | Conference item |
| Idioma: | English |
| Publicado: |
Springer
2008
|