Continuous Pose for Monocular Cameras in Neural Implicit Representation

arXiv:2311.17119v2 Announce Type: replace
Abstract: In this paper, we showcase the effectiveness of optimizing monocular camera poses as a continuous function of time. The camera poses are represented using an implicit neural function which maps the given time to the corresponding camera pose. The mapped camera poses are then used for the downstream tasks where joint camera pose optimization is also required. While doing so, the network parameters -- that implicitly represent camera poses -- are optimized. We exploit the …

abstract arxiv cameras continuous cs.cv function mapped maps neural function paper representation type