Object Registration in Neural Fields

arXiv:2404.18381v1 Announce Type: cross
Abstract: Neural fields provide a continuous scene representation of 3D geometry and appearance in a way which has great promise for robotics applications. One functionality that unlocks unique use-cases for neural fields in robotics is object 6-DoF registration. In this paper, we provide an expanded analysis of the recent Reg-NF neural field registration method and its use-cases within a robotics context. We showcase the scenario of determining the 6-DoF pose of known objects within a scene …

abstract analysis applications arxiv cases continuous cs.cv cs.ro fields geometry object paper registration representation robotics type unique