Auto-calibration of the motion parameters for a vision system

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 cl...

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Bibliographic Details
Published in2009 IEEE International Conference on Intelligent Computing and Intelligent Systems Vol. 4; pp. 122 - 126
Main Authors Beiwei Zhang, Bin Zhu, Li, Y.F.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2009
Subjects
Calibration
Camera Calibration
Cameras
Computational efficiency
Environmental economics
Homographic matrix
Intelligent robots
Layout
Machine vision
Motion Parameters
Robot vision systems
Robustness
Transmission line matrix methods
Vision System
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Summary: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.
ISBN:9781424447541
1424447542
DOI:10.1109/ICICISYS.2009.5357722