Probabilistic 3D occupancy flow with latent silhouette cues

@article{Guan2010Probabilistic3O,
  title={Probabilistic 3D occupancy flow with latent silhouette cues},
  author={Li Guan and Jean-S{\'e}bastien Franco and Edmond Boyer and Marc Pollefeys},
  journal={2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
  year={2010},
  pages={1379-1386}
}
In this paper we investigate shape and motion retrieval in the context of multi-camera systems. We propose a new low-level analysis based on latent silhouette cues, particularly suited for low-texture and outdoor datasets. Our analysis does not rely on explicit surface representations, instead using an EM framework to simultaneously update a set of volumetric voxel occupancy probabilities and retrieve a best estimate of the dense 3D motion field from the last consecutively observed multi-view… CONTINUE READING