Forget the checkerboard: practical self-calibration using a planar scene

Daniel Herrera Castro, Juho Kannala, Janne Heikkilä

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

We introduce a camera self-calibration method using a
planar scene of unknown texture. Planar surfaces are everywhere
but checkerboards are not, thus the method can be
more easily applied outside the lab. We demonstrate that the
accuracy is equivalent to a checkerboard-based calibration,
so there is no need for printing checkerboards any more.
Moreover, the use of a planar scene provides improved robustness
and stronger constraints than a self-calibration
with an arbitrary scene. We utilize a closed-form initialization
of the focal length with minimal and practical assumptions.
The method recovers the intrinsic and extrinsic
parameters of the camera and the metric structure of the
planar scene. The method is implemented in a real-time
application for non-expert users that provides an easy and
practical process to obtain high accuracy calibrations.
Original languageEnglish
Title of host publicationIEEE Winter Conference on Applications of Computer Vision (WACV)
Publication statusPublished - 2016
MoE publication typeA4 Article in a conference publication

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