Calibrate cameras from video with sub-pixel error using self-supervision
Calibrate cameras from video with sub-pixel error using self-supervision
Self-Supervised Camera Self-Calibration from Video
arXiv paper abstract https://arxiv.org/abs/2112.03325v1
arXiv PDF paper https://arxiv.org/pdf/2112.03325v1.pdf
Camera calibration is integral to robotics and computer vision algorithms that seek to infer geometric properties of the scene from visual input streams.
… self-supervised depth and ego-motion estimation approaches can bypass explicit calibration by inferring per-frame projection models that optimize a view synthesis objective.
… extend … to … calibrate a wide range of cameras from raw videos in the wild. … propose … regress per-sequence calibration parameters ….
… procedure achieves self-calibration results with sub-pixel reprojection error, outperforming other learning-based methods.
… validate our approach on a wide variety of camera geometries, including perspective, fisheye, and catadioptric.
… show … approach leads to improvements in … depth estimation, achieving state-of-the-art results on the EuRoC dataset with greater computational efficiency than contemporary methods.
Stay up to date. Subscribe to my posts https://morrislee1234.wixsite.com/website/contact
Web site with my other posts by category https://morrislee1234.wixsite.com/website
LinkedIn https://www.linkedin.com/in/morris-lee-47877b7b
