all AI news
MC-NeRF: Multi-Camera Neural Radiance Fields for Multi-Camera Image Acquisition Systems
March 25, 2024, 4:45 a.m. | Yu Gao, Lutong Su, Hao Liang, Yufeng Yue, Yi Yang, Mengyin Fu
cs.CV updates on arXiv.org arxiv.org
Abstract: Neural Radiance Fields (NeRF) use multi-view images for 3D scene representation, demonstrating remarkable performance. As one of the primary sources of multi-view images, multi-camera systems encounter challenges such as varying intrinsic parameters and frequent pose changes. Most previous NeRF-based methods assume a unique camera and rarely consider multi-camera scenarios. Besides, some NeRF methods that can optimize intrinsic and extrinsic parameters still remain susceptible to suboptimal solutions when these parameters are poor initialized. In this paper, …
abstract acquisition arxiv challenges cs.cv fields image images intrinsic nerf neural radiance fields parameters performance representation systems type view
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
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
Consultant - Artificial Intelligence & Data (Google Cloud Data Engineer) - MY / TH
@ Deloitte | Kuala Lumpur, MY