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Information × Registration Number 2120U007897, Article popup.category Препринт Title Minimal Solvers for Single-View Auto-Calibration (AI translated) popup.author Lochman YaroslavaLochman Yaroslava popup.publication 01-01-2020 popup.source_user Український католицький університет popup.source https://hdl.handle.net/20.500.14570/2039 popup.publisher Description We introduce a new hybrid minimal solver that admits combinations of radially-distorted conjugate translations and radially-distorted parallel lines from the common scene plane to jointly estimate lens undistortion and affine rectification. The solver is the first to admit complementary geometric primitives for rectification purposes. In addition, a novel solver admitting three pairs of imaged parallel scene lines for the same problem is introduced. The proposed solvers are used with the Manhattan scene assumption to auto-calibrate cameras from a single image. Thesolversaregeneratedusingelementarymethodsfromalgebraicgeometry. As a result, they are simple, fast and robust. The solvers are used in an adaptive sampling framework that favors the feature combinations that are most frequently consistent with accurate scene plane rectifications. Auto-calibrations are recovered from challenging images that have either a sparsity of scene lines or scene texture. The method is fully automatic. popup.nrat_date 2025-11-05 Close