Abstract
This paper describes a comparative study of performance between the estimated image Jacobian that come from taking into account the geometry epipolar of a system of two cameras, and the well known analytic image Jacobian that is utilized for most applications in visual servoing. Image Based Visual Servoing architecture is used for controlling a 3 d.o.f. articular system using two cameras in eye to hand configuration. Tests in static and dynamic cases were carried out, and showed that the performance of estimated Jacobian by using the properties of the epipolar geometry is such as good and robust against noise as the analytic Jacobian. This fact is considered as an advantage because the estimated Jacobian does not need laborious previous work prior the control task in contrast to the analytic Jacobian does.
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References
Asada, M., Tanaka, T., Hosoda, K.: Adaptive Binocular Visual Servoing for Independently Moving Target Tracking. In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2000), pp. 2076–2081 (2000)
Chaumette, F., Hutchinson, S.: Visual Servo Control Part I: Basic Approaches. IEEE Robotics & Autonomation Magazine 14(1), 109–118 (2006)
Chaumette, F., Hutchinson, S.: Visual Servo Control Part II: Advanced Approaches. Robotics & Autonomous Magazine, IEEE 13(4), 82–90 (2007)
Corke, P.: Visual Control of Robot Manipulators – A Review. In: Hashimoto, K. (ed.) Visual Servoing, pp. 1–32. World Scientific, Singapore (1994)
Deng, Z., Jägersand, M.: Evaluation of Model Independent Image-Based Visual Servoing. In: Canadian Conference on Computer and Robot Vision, pp. 138–144 (2004)
Espiau, B., Chaumette, F., Rives, P.: A New Approach to Visual Servoing in Robotics. IEEE Transactions on Robotics and Automation 8(3), 313–326 (1992)
Faugeras, O., Luong, Q.T.: The Geometry of Multiple Images. The Massachusetts Institute of Technology Press (2001)
Hartley, R.I.: In Defence of the Eight-Point Algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence 19(6) (1997)
Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision, 2nd edn. Cambridge University Press, Cambridge (2003)
Hutchinson, S.A., Hager, G.D., Corke, P.I.: A tutorial on visual servo control. IEEE Trans. Robotics and Automation 12, 651–670 (1996)
Kragic, D., Christensen, H.I.: Survey on visual servoing for manipulation, Technical Report ISRN KTH/NA/P-02/01-Sen, CVAP259, (2002)
Pari, L., Sebastián, J.M., González, C., Ángel, L.: Image Based Visual Servoing: A New Method for the Estimation of the Image Jacobian in Dynamic Environments. LNCS, vol. 4142, pp. 850–861. Springer, Heidelberg (2006)
Piepmeier, J.A., McMurray, G.V., Lipkin, H.: Uncalibrated Dynamic Visual Servoing. IEEE Transactions on Robotics and Automation 20(1), 143–147 (2004)
Qian, J., Su, J.: Online estimation of Image Jacobian Matrix by Kalman-Bucy filter for un-calibrated Stereo Vision Feedback. In: International Conference on Robotics & Automation (ICRA 2002), pp. 562–567 (2002)
Sebastián, J.M., Pari, L., González, C., Ángel, L.: A New Method for the Estimation of the Image Jacobian for the Control of an Uncalibrated Joint System. LNCS, vol. 3522, pp. 631–638. Springer, Heidelberg (2005)
Sutanto, H., Sharma, R., Varma, V.: The role of exploratory movement in visual servoing without calibration. Robotics and Autonomous Systems 23, 153–169 (1998)
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Pari, L., Sebastián, J.M., Traslosheros, A., Angel, L. (2008). Image Based Visual Servoing: Estimated Image Jacobian by Using Fundamental Matrix VS Analytic Jacobian. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2008. Lecture Notes in Computer Science, vol 5112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69812-8_70
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DOI: https://doi.org/10.1007/978-3-540-69812-8_70
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