Stable radial distortion calibration by polynomial matrix inequalities programming

2Citations
Citations of this article
7Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Polynomial and rational functions are the number one choice when it comes to modeling of radial distortion of lenses. However, several extrapolation and numerical issues may arise while using these functions that have not been covered by the literature much so far. In this paper, we identify these problems and show how to deal with them by enforcing nonnegativity of certain polynomials. Further, we show how to model these nonnegativities using polynomial matrix inequalities (PMI) and how to estimate the radial distortion parameters subject to PMI constraints using semidefinite programming (SDP). Finally, we suggest several approaches on how to incorporate the proposed method into the overall camera calibration procedure.

Cite

CITATION STYLE

APA

Heller, J., Henrion, D., & Pajdla, T. (2015). Stable radial distortion calibration by polynomial matrix inequalities programming. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9003, pp. 307–321). Springer Verlag. https://doi.org/10.1007/978-3-319-16865-4_20

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free