Camera lens radial distortion correction using two-view projective invariants

Xin Du*, Hongdong Li, Yunfang Zhu

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    8 Citations (Scopus)

    Abstract

    This Letter proposes a new method for automatically removing radial lens distortion from image feature point correspondences of two views. Based on the projective geometric relationship between two views of a planar scene, we have derived a system of algebraic equations that relates the invariants to the distortion parameters to be found. We then propose a noniterative procedure to solve the equations system, and a kernel-voting scheme to select the best root. Being a noniterative approach, our method overcomes many problems with the conventional iterative approach. It also largely decouples the estimation of the distortion from the estimation of other camera parameters and, therefore, delivers more reliable results. Experiments on both synthetic data and real images have provided satisfactory results.

    Original languageEnglish
    Pages (from-to)4734-4736
    Number of pages3
    JournalOptics Letters
    Volume36
    Issue number24
    DOIs
    Publication statusPublished - 15 Dec 2011

    Fingerprint

    Dive into the research topics of 'Camera lens radial distortion correction using two-view projective invariants'. Together they form a unique fingerprint.

    Cite this