Real-time tracking of single and multiple objects from depth-colour imagery Using 3D signed distance functions
We describe a novel probabilistic framework for real-time tracking of multiple objects from combined depthcolour imagery. Object shape is represented implicitly using 3D signed distance functions. Probabilistic generative models based on these functions are developed to account for the observed RGB-...
| Autores principales: | , , , , |
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| Formato: | Journal article |
| Publicado: |
Springer
2017
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