A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry

DOI10.1016/0004-3702(95)00022-4zbMath1497.68501OpenAlexW2011891945MaRDI QIDQ2675287

Olivier Faugeras, Zhengyou Zhang, Rachid Deriche, Q.-Tuan Luong

Publication date: 21 September 2022

Published in: Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0004-3702(95)00022-4

zbMATH Keywords

correlationfundamental matrixrelaxationepipolar geometryleast median of squaresrobust matching

Mathematics Subject Classification ID

Machine vision and scene understanding (68T45)

Related Items (13)

From lines to epipoles through planes in two views ⋮ Self-calibration of a stereo rig using monocular epipolar geometries ⋮ Robust multi-view feature matching from multiple unordered views ⋮ Recognition and location of the internal corners of planar checkerboard calibration pattern image ⋮ Image matching based on orientation-magnitude histograms and global consistency ⋮ Camera self-calibration from bivariate polynomials derived from Kruppa's equations ⋮ Degeneracy of the intersection of three quadrics ⋮ Image mosaicking for polyhedral scene and in particular singly visible surfaces ⋮ Qualitative vision for the guidance of legged robots in unstructured environments ⋮ Feature vector field and feature matching ⋮ High Performance Model-Based Object Detection and Tracking ⋮ Projective invariants from multiple images: a direct and linear method ⋮ Binocular matching constraints from motion

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• Rejecting outliers and estimating errors in an orthogonal-regression framework
• Robust Statistics

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