TY - GEN
T1 - Auto-calibration of the motion parameters for a vision system
AU - Zhang, Beiwei
AU - Zhu, Bin
AU - Li, Y. F.
PY - 2009
Y1 - 2009
N2 - In this work, we present a new robust method for calibrating the vision system. With the known intrinsic parameters of the camera, we show that its motion parameters, in terms of translation vector and rotation matrix, can be determined automatically from plane-based Homography. In this method, a closed-form solution is provided to increase the computational efficiency and arbitrary motion is allowed for the system. Finally, some experiments are carried out using the proposed algorithm and compared with the classic method to demonstrate its validity. ©2009 IEEE.
AB - In this work, we present a new robust method for calibrating the vision system. With the known intrinsic parameters of the camera, we show that its motion parameters, in terms of translation vector and rotation matrix, can be determined automatically from plane-based Homography. In this method, a closed-form solution is provided to increase the computational efficiency and arbitrary motion is allowed for the system. Finally, some experiments are carried out using the proposed algorithm and compared with the classic method to demonstrate its validity. ©2009 IEEE.
KW - Camera calibration
KW - Homographic matrix
KW - Motion parameters
KW - Vision system
UR - https://www.scopus.com/pages/publications/77949495411
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-77949495411&origin=recordpage
U2 - 10.1109/ICICISYS.2009.5357722
DO - 10.1109/ICICISYS.2009.5357722
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9781424447541
VL - 4
SP - 122
EP - 126
BT - Proceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009
T2 - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009
Y2 - 20 November 2009 through 22 November 2009
ER -