Motion Segmentation of Truncated Signed Distance Function Based Volumetric Surfaces

@article{Perera2015MotionSO,
  title={Motion Segmentation of Truncated Signed Distance Function Based Volumetric Surfaces},
  author={Samunda Perera and Nick Barnes and Xuming He and Shahram Izadi and Pushmeet Kohli and Ben Glocker},
  journal={2015 IEEE Winter Conference on Applications of Computer Vision},
  year={2015},
  pages={1046-1053}
}
Truncated signed distance function (TSDF) based volumetric surface reconstructions of static environments can be readily acquired using recent RGB-D camera based mapping systems. If objects in the environment move then a previously obtained TSDF reconstruction is no longer current. Handling this problem requires segmenting moving objects from the reconstruction. To this end, we present a novel solution to the motion segmentation of TSDF volumes. The segmentation problem is cast as CRF-based MAP… Expand
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