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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



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.



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