Quality Assessment of Self-Calibration with Distortion Estimation for Grid Point Images
Paper in proceedings, 2014

Recently, a camera self-calibration algorithm was reported which solves for pose, focal length and radial distortion using a minimal set of four 2D-to-3D point correspondences. In this paper, we present an empirical analysis of the algorithm's accuracy using high-fidelity point correspondences. In particular, we use images of circular markers arranged in a regular planar grid, obtain the centroids of the marker images, and pass those as input point correspondences to the algorithm. We compare the resulting reprojection errors against those obtained from a benchmark calibration based on the same data. Our experiments show that for low-noise point images the self-calibration technique performs at least as good as the benchmark with a simplified distortion model.

Image Distortion

Gröbner basis

Performance Analysis

Bundle Adjustment

Planar Pattern



Zlatko Franjcic

Chalmers, Applied Information Technology (Chalmers), Interaction Design (Chalmers)

Johan Bondeson

Qualisys AB

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

16821750 (ISSN)

Vol. XL-3 3 95-99

Areas of Advance

Information and Communication Technology

Subject Categories

Computer Vision and Robotics (Autonomous Systems)



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