2 research outputs found
Automatic Lens Distortion Estimation for an Active Camera
This paper proposes a new algorithm for estimating lens distortion for a pan-
tilt-zoom camera. No calibration pattern is needed: detection of a single feature
point at different camera configurations allows the generation of a virtual cali-
bration pattern which is composed of points that, in an undistorted image, are
ensured to lie on straight lines. An iterative algorithm estimates lens distortion
by minimizing a non-straightness error metric solving two linear subproblems.
Experiments on synthetic and real images show the validity of the proposed
method