all AI news
SDF-based RGB-D Camera Tracking in Neural Scene Representations. (arXiv:2205.02079v1 [cs.CV])
May 5, 2022, 1:10 a.m. | Leonard Bruns, Fereidoon Zangeneh, Patric Jensfelt
cs.CV updates on arXiv.org arxiv.org
We consider the problem of tracking the 6D pose of a moving RGB-D camera in a
neural scene representation. Different such representations have recently
emerged, and we investigate the suitability of them for the task of camera
tracking. In particular, we propose to track an RGB-D camera using a signed
distance field-based representation and show that compared to density-based
representations, tracking can be sped up, which enables more robust and
accurate pose estimates when computation time is limited.
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Data Management Associate
@ EcoVadis | Ebène, Mauritius
Senior Data Engineer
@ Telstra | Telstra ICC Bengaluru