Title :
Online Approaches to Camera Pose Recalibration
Author :
Shu, Fangwu ; Neddermeyer, Werner ; Zhang, Jianwei
Author_Institution :
University of Applied Sciences Gelsenkirchen, Germany, University of Hamburg, Germany. shu@informatik.fh-gelsenkirchen.de
Abstract :
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.
Keywords :
Application software; Calibration; Computer vision; Intelligent robots; Machine vision; Optical distortion; Robot kinematics; Robot vision systems; Service robots; Smart cameras; camera pose; direction vector; recalibration; reference points; size-known object;
Conference_Titel :
Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on
Conference_Location :
Beijing, China
Print_ISBN :
1-4244-0259-X
Electronic_ISBN :
1-4244-0259-X
DOI :
10.1109/IROS.2006.282552