Abstract
This paper presents a real-time and effective measuring technique to determine the location of moving object on a fixed plane using homography matrix with a single camera. Based on OpenCV, this paper firstly calibrates the camera’s intrinsic parameters, and then obtains homography matrix between the plane of moving object and the image through specific template, and meanwhile the origin position of plane coordinates and coordinate axis direction are gained. According to the camera perspective projection model, the actual coordinates of the moving object in the fixed plane can be calculated while the coordinates in the image are known. Using the research results in on-line location of mechanical parts shows that the system has high accuracy and its precision meets for practicality.
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References
Zhang, Y.J.: Image Engineering, 2nd edn. Tsinghua University Press, Beijing (2007)
Zhang, Z.: A flexible new technique for camera calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence 22(11), 1330–1334 (2000)
Shakunaga, T.: An Object Pose Estimation System Using a Single Camera. Intelligent Robots and Systems, 1053–1060 (1992)
Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge University Press, Cambridge (2000)
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© 2011 Springer-Verlag Berlin Heidelberg
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Li, JH., Xie, XZ. (2011). Study of Monocular Measuring Technique Based on Homography Matrix. In: Wu, Y. (eds) Computing and Intelligent Systems. ICCIC 2011. Communications in Computer and Information Science, vol 234. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24091-1_42
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DOI: https://doi.org/10.1007/978-3-642-24091-1_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24090-4
Online ISBN: 978-3-642-24091-1
eBook Packages: Computer ScienceComputer Science (R0)