all AI news
Depth-Guided Sparse Structure-from-Motion for Movies and TV Shows. (arXiv:2204.02509v1 [cs.CV])
April 7, 2022, 1:10 a.m. | Sheng Liu, Xiaohan Nie, Raffay Hamid
cs.CV updates on arXiv.org arxiv.org
Existing approaches for Structure from Motion (SfM) produce impressive 3-D
reconstruction results especially when using imagery captured with large
parallax. However, to create engaging video-content in movies and TV shows, the
amount by which a camera can be moved while filming a particular shot is often
limited. The resulting small-motion parallax between video frames makes
standard geometry-based SfM approaches not as effective for movies and TV
shows. To address this challenge, we propose a simple yet effective approach
that uses …
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
AI Research Scientist
@ Vara | Berlin, Germany and Remote
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
AI Engineering Manager
@ M47 Labs | Barcelona, Catalunya [Cataluña], Spain