Pose estimation of a single circle using default intrinsic calibration

TL;DR

This paper explores pose estimation of a single circle with default intrinsic calibration, demonstrating that approximate calibration can yield accurate results and addressing ambiguity issues in uncalibrated camera scenarios.

Contribution

It introduces a new formulation for pose estimation with one circle under default calibration and discusses how to eliminate ambiguity in uncalibrated camera setups.

Findings

Approximate calibration suffices for accurate pose estimation.

Detection of geometric configurations can remove pose ambiguity.

Default intrinsic parameters enable effective pose estimation from a single circle.

Abstract

Circular markers are planar markers which offer great performances for detection and pose estimation. For an uncalibrated camera with an unknown focal length, at least the images of at least two coplanar circles are generally required to recover their poses. Unfortunately, detecting more than one ellipse in the image must be tricky and time-consuming, especially regarding concentric circles. On the other hand, when the camera is calibrated, one circle suffices but the solution is twofold and can hardly be disambiguated. Our contribution is to put beyond this limit by dealing with the uncalibrated case of a camera seeing one circle and discussing how to remove the ambiguity. We propose a new problem formulation that enables to show how to detect geometric configurations in which the ambiguity can be removed. Furthermore, we introduce the notion of default camera intrinsics and show, using intensive empirical works, the surprising observation that very approximate calibration can lead to accurate circle pose estimation.