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.
Please like and share this post if you enjoyed it using the buttons at the bottom!
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
Comments