Evaluation of Solving Methods for the Fundamental Matrix Computation | Zendy

Katherine Arnold | Zendy; Mohamed A. Naiel | Zendy; Mark Lamm | Zendy; Paul Fieguth | Zendy

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Evaluation of Solving Methods for the Fundamental Matrix Computation

Author(s) -

Katherine Arnold,

Mohamed A. Naiel,

Mark Lamm,

Paul Fieguth

Publication year - 2021

Publication title -

journal of computational vision and imaging systems

Language(s) - English

Resource type - Journals

ISSN - 2562-0444

DOI - 10.15353/jcvis.v6i1.3563

Subject(s) - projector , fundamental matrix (linear differential equation) , computer science , computation , matrix (chemical analysis) , calibration , key (lock) , essential matrix , computer vision , nonlinear system , artificial intelligence , algorithm , mathematics , state transition matrix , symmetric matrix , mathematical analysis , statistics , materials science , eigenvalues and eigenvectors , computer security , quantum mechanics , physics , composite material

Solving the fundamental matrix is a key step in many image calibration and 3D reconstruction systems. The goal of this paper is to study the performance of non-linear solvers for estimating the fundamental matrix in projector-camera calibration. To prevent measurements errors from distorting our understanding, synthetic data are created from ground-truth camera and projector parameters and then used for the assessment of four nonlinear solving strategies.

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