Smart camera

Pose

Mistake

Computer science

Camera auto-calibration

Camera resectioning

Political science

3D pose estimation

Artificial intelligence

Computer vision

This paper proposes some practical methods for online pose recalibration for cameras with known internal parameters. These approaches work only with reference points, which may be any artificial marks, or any parts of objects fixed in the working environment. Regardless of whether the camera pose is changed by mistake or because of system re-design, the camera will observe the reference points after the change, the recalibration for the camera pose will be completed in a few seconds, and the camera can immediately be reintegrated into the vision system. Compared to the results from a measuring device with a laser tracker and a famous industrial vision system, the accuracy of the recalibration methods with real data completely satisfies the practical demands.

Online Approaches to Camera Pose Recalibration