A Method of Determining the Pose of Planar Target in Vision Detection System

Article Preview

Abstract:

Planar target is a location reference that is widely used in vision detection system. Based on monocular vision and circular markers on the planar target, a new method of determining the pose of target spatial plane is proposed. Since CCD image of a circle is an ellipse ,determining the pose of spatial plane may be transformed into determining the pose of ellipse. Ellipse curve equation of circle’s image is deduced and the independent parameters of ellipse are obtained, the relationship between spatial plane and ellipse parameters is established, thus the pose of spatial plane can be determined. By calculating the relative displacement with the standard plane that its depth information is known, the depth information from the center of ellipse image to the camera coordinate system is obtained. The algorithm is simple and fast, and it can be widely used in monocular vision detection.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

156-161

Citation:

Online since:

January 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] L. Guo, Y.C. Xu, K.Q. Li, et al. Study on real-time distance detection based on monocular vision technique, Journal of Image and Graphics, 11(1), (2006) 74-81(in Chinese).

Google Scholar

[2] T.Y. Zhao,L. Guo, L.C. Zhang. A new algorithm of spatial positioning based on mono-vision, Journal of Northwestern Polytechnical University, 27(1), (2009) 47-51(in Chinese).

Google Scholar

[3] G.J. Zhang, F.Q. Zhou. Position and orientation estimation method for landing of unmanned aerial vehicle with two circle based computer vision, Acta Aeronautica et Astronautica Sinica, 26(3), (2005) 344-348(in Chinese).

Google Scholar

[4] X.H. Gao, K.J. Xu, H. Zhang, et al. Position-pose measurement algorithm based on single camera and laser range-finder, Journal of Scientfic Instrument, 28(7), (2007) 1479-1485(in Chinese).

Google Scholar

[5] T.N. Zhang, Y.Q. Tu, D.C. Wang. Study of wheel alignment based on computer vision, Electronic Measurement Technology, 31(4), (2008) 52-56(in Chinese).

Google Scholar

[6] X.J. Yang, X.L. Zhu, Y.Q. Xia, et al. A Method of Determining the Pose of Spatial Plane Based on Ellipse Features, Development&Innovation of Machinery&Electrical Products, 22(3), (2009) 150-152(in Chinese).

Google Scholar

[7] Reza Safaee-Rad, Ivo Tchoukanov, Kenneth Carless Smith, et al. Three-dimensional location estimation of circular features for machine vision, Journal of IEEE Transactions on Robotics and Automation, 8(5), (1992) 624-639.

DOI: 10.1109/70.163786

Google Scholar

[8] Q.Y. Han, S.T. Wan. Machine vision characteristics of the perspective projection of space, Journal of North China Electric Power University, 25(1), (1998) 80-84(in Chinese).

Google Scholar