Quality Assessment of Self-Calibration with Distortion Estimation for Grid Point Images
Paper i proceeding, 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.

Performance Analysis

Self-Calibration

Bundle Adjustment

Gröbner basis

Planar Pattern

Image Distortion

Författare

Zlatko Franjcic

Chalmers, Tillämpad informationsteknologi, Interaktionsdesign (Chalmers)

Johan Bondeson

QUALISYS AB

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

16821750 (ISSN)

Vol. XL-3 95-99

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Datorseende och robotik (autonoma system)

DOI

10.5194/isprsarchives-XL-3-95-2014