Automatic calibration and removal of distortion from scenes of structured environments

Frédéric Devernay 1 Olivier Faugeras 1
1 ROBOTVIS - Computer Vision and Robotics
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : Most algorithms in 3D computer vision rely on the pinhole camera model because of its simplicity, whereas video optics, especially low-cost wide-angle lens, generate a lot of nonlinear distortion which can be critical. To find the distortion parameters of a camera, we use the following fundamental property: a camera follows the pinhole model if and only if the projection of every line in space onto the camera is a line. Consequently, if we find the transformation on the video image so that every line in space is viewed in the transformed image as a line, then we know how to remove the distortion from the image. The algorithm consists of first doing edge extraction on a possibly distorted video sequence, then doing polygonal approximation with a large tolerance on these edges to extract possible lines from the sequence, and then finding the parameters of our distortion model that best transform these edges to segments. Results are presented on real video images, compared with distortion calibration obtained by a full camera calibration method which uses a calibration grid.
Document type :
Conference papers
Complete list of metadatas

Cited literature [19 references]  Display  Hide  Download

https://hal.inria.fr/hal-00821474
Contributor : Frédéric Devernay <>
Submitted on : Friday, May 10, 2013 - 12:21:50 PM
Last modification on : Thursday, February 7, 2019 - 3:50:15 PM
Long-term archiving on : Sunday, August 11, 2013 - 4:08:05 AM

File

devernay-faugeras_95b.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Frédéric Devernay, Olivier Faugeras. Automatic calibration and removal of distortion from scenes of structured environments. Investigative and Trial Image Processing, 1995, San Diego, United States. ⟨10.1117/12.218487⟩. ⟨hal-00821474⟩

Share

Metrics

Record views

664

Files downloads

1377