Abstract
In the paper a using of 2D color camera and a program based on the Speeded-Up Robust Features (SURF) algorithm was presented. The main aim of this article was to find influence of amount of tracked points on accuracy of position and angle tracking. Required data are obtained by finding corresponding key points between image captured from the camera and a reference image of the tracked object. The program has been written in C# with using of Emgu CV which is an image processing library.
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Acknowledgment
The work described in this paper was funded from 02/23/DS-PB/120 (Nowe techniki w urządzeniach mechatronicznych).
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Sawicki, Ł., Kubacki, A., Owczarek, P. (2016). Application of SURF Algorithm for Real-Time Estimation of Angle and Central Point of a Tracked Object. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M. (eds) Challenges in Automation, Robotics and Measurement Techniques. ICA 2016. Advances in Intelligent Systems and Computing, vol 440. Springer, Cham. https://doi.org/10.1007/978-3-319-29357-8_29
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DOI: https://doi.org/10.1007/978-3-319-29357-8_29
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