Efficient Pose Selection for Interactive Camera Calibration

@article{Rojtberg2018EfficientPS,
  title={Efficient Pose Selection for Interactive Camera Calibration},
  author={Pavel Rojtberg and Arjan Kuijper},
  journal={2018 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)},
  year={2018},
  pages={31-36}
}
  • Pavel Rojtberg, Arjan Kuijper
  • Published 1 October 2017
  • Computer Science
  • 2018 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)
The choice of poses for camera calibration with planar patterns is only rarely considered — yet the calibration precision heavily depends on it. This work presents a pose selection method that finds a compact and robust set of calibration poses and is suitable for interactive calibration. Consequently, singular poses that would lead to an unreliable solution are avoided explicitly, while poses reducing the uncertainty of the calibration are favoured. For this, we use uncertainty propagation… 

Figures and Tables from this paper

Calibration Wizard: A Guidance System for Camera Calibration Based on Modelling Geometric and Corner Uncertainty
  • Songyou Peng, P. Sturm
  • Computer Science
    2019 IEEE/CVF International Conference on Computer Vision (ICCV)
  • 2019
TLDR
A system -- Calibration Wizard -- that interactively guides a user towards taking optimal calibration images and computes the pose that leads to the globally maximum reduction of expected uncertainty on intrinsic parameters and then guides the user towards that pose.
Calibration Venus: An Interactive Camera Calibration Method Based on Search Algorithm and Pose Decomposition
TLDR
A pose search algorithm based on simulated annealing (SA) algorithm is proposed and an intuitive and easy-to-use user guidance method is designed to decompose the optimal pose into four sub-poses: translation, each rotation along X-, Y-, Z-axes, as well as provide better guidance.
Camera Calibration with Pose Guidance
  • Yuzhuo Ren, Feng Hu
  • Computer Science
    ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • 2021
TLDR
A calibration system called Calibration with Pose Guidance is proposed to improve calibration accuracy, reduce calibration variance among different users or different trials of the same person, and achieves more accurate and consistent calibration than traditional calibration tools.
CAMERA CALIBRATION USING MULTIPLE UNORDERED
TLDR
This paper discusses the alternative of extending the size of the calibration object by using multiple unordered coplanar chessboards, which might accommodate much larger imaging distances and need to be further studied for its reliable practical employment.
Modeling dynamic target deformation in camera calibration
TLDR
This work proposes a way to explicitly model dynamic target deformations in camera calibration by using a low-dimensional deformation model with only few parameters per image, which can be optimized jointly with target poses and intrinsics.
Inferring Bias and Uncertainty in Camera Calibration
TLDR
The proposed bias detection method uncovers smallest systematic errors and thereby reveals imperfections of the calibration setup and provides the basis for camera model selection and derives a simple uncertainty metric that is independent of the camera model.
Calibration and Absolute Pose Estimation of Trinocular Linear Camera Array for Smart City Applications
A method for calibrating a Trinocular Linear Camera Array (TLCA) for traffic surveillance applications, such as towards smart cities, is presented. A TLCA-specific parametrization guarantees that the
Deep Soft Procrustes for Markerless Volumetric Sensor Alignment
TLDR
This work improves markerless data-driven correspondence estimation to achieve more robust and flexible multi-sensor spatial alignment and incorporates geometric constraints in an end-to-end manner into a typical segmentation based model and bridge the intermediate dense classification task with the targeted pose estimation one.
Using Gamification for Stereo Camera Calibration in Terms of Augmented Reality
TLDR
It is shown that, in a gamified application, participants can be incited to perform longer procedures with up to four times the amount of measurements taken without a necessary decrease in the resulting calibration quality.

References

SHOWING 1-10 OF 17 REFERENCES
AprilCal: Assisted and repeatable camera calibration
TLDR
Two methods for scoring target positions are described: one that computes the stability of the focal length estimates for initializing the calibration, and another that subsequently quantifies the model uncertainty in pixel space.
Self-identifying patterns for plane-based camera calibration
TLDR
This work presents a system which allows a camera to be calibrated merely by passing it in front of a panel of self-identifying patterns which uses an array of fiducial markers which are detected with a high degree of confidence.
Requirements for Camera Calibration: Must Accuracy Come with a High Price?
  • Wei Sun, J. Cooperstock
  • Physics
    2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1
  • 2005
TLDR
This effort seeks to determine whether expensive, elaborate setups are necessary, or indeed, beneficial, to camera calibration, and whether a high complexity camera model leads to improved accuracy.
A Flexible New Technique for Camera Calibration
TLDR
A flexible technique to easily calibrate a camera that only requires the camera to observe a planar pattern shown at a few (at least two) different orientations is proposed and advances 3D computer vision one more step from laboratory environments to real world use.
A four-step camera calibration procedure with implicit image correction
  • J. Heikkilä, O. Silvén
  • Physics
    Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition
  • 1997
TLDR
This paper presents a four-step calibration procedure that is an extension to the two-step method, and a linear method for solving the parameters of the inverse model is presented.
Camera Calibration with Distortion Models and Accuracy Evaluation
TLDR
A camera model that accounts for major sources of camera distortion, namely, radial, decentering, and thin prism distortions is presented and a type of measure is introduced that can be used to directly evaluate the performance of calibration and compare calibrations among different systems.
On plane-based camera calibration: A general algorithm, singularities, applications
  • P. Sturm, S. Maybank
  • Mathematics
    Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149)
  • 1999
TLDR
A general algorithm for plane-based calibration that can deal with arbitrary numbers of views and calibration planes and it is easy to incorporate known values of intrinsic parameters is presented.
Autocalibration from Planar Scenes
TLDR
The theory and a practical algorithm for the autocalibration of a moving projective camera, from m ≥ 5 views of a planar scene, which generalizes Hartley's method for the internal calibration of a rotating camera to allow camera translation and to provide 3D as well as calibration information.
CALTag: High Precision Fiducial Markers for Camera Calibration
TLDR
A self-identifying marker pattern is presented for camera calibration, designed to support high-precision, fully-automatic localization of calibration points, as well as identification of individual markers in the presence of significant occlusions, uneven illumination, and observations under extremely acute angles.
X-Tag: A Fiducial Tag for Flexible and Accurate Bundle Adjustment
TLDR
A novel planar 2D fiducial marker, X-tag, enjoys a novel design, coupled with very efficient and robust detection scheme, resulting in a reduced number of false positives, aiming easy camera calibration and precise 3D reconstruction at the marker locations via the bundle adjustment.
...
...