June 5, 2024, 4:49 a.m. | Kang Liao, Lang Nie, Shujuan Huang, Chunyu Lin, Jing Zhang, Yao Zhao, Moncef Gabbouj, Dacheng Tao

cs.CV updates on arXiv.org arxiv.org

arXiv:2303.10559v2 Announce Type: replace
Abstract: Camera calibration involves estimating camera parameters to infer geometric features from captured sequences, which is crucial for computer vision and robotics. However, conventional calibration is laborious and requires dedicated collection. Recent efforts show that learning-based solutions have the potential to be used in place of the repeatability works of manual calibrations. Among these solutions, various learning strategies, networks, geometric priors, and datasets have been investigated. In this paper, we provide a comprehensive survey of learning-based …

arxiv beyond calibration cs.cv deep learning replace survey type

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