Abstract
In many robotic applications, 3D location estimation of an object with respect to a reference frame is required. Circular markers located on the object are often employed for this purpose. This paper addresses the problem of 3D location estimation of circular features from a single camera image. A mathematical closed-form solution of the problem allows to determine the normal vector to the circle feature with respect to the camera reference frame. High calculation accuracy is guaranteed by a Kalman filter which performs a sub-pixel parametric estimation. A set of experimental results shows the validity and the accuracy of the process involved in 3D angular estimation. The theory is applied to a real industrial problem, namely the 3D location of a car rim. In fact, this information is necessary to perform a pick-and-place robotic task.
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Sonego, M., Gallina, P., Dalla Valle, M., Rossi, A. (2005). 3D Location of Circular Features for Robotic Tasks. In: Kuljanic, E. (eds) AMST’05 Advanced Manufacturing Systems and Technology. CISM International Centre for Mechanical Sciences, vol 486. Springer, Vienna. https://doi.org/10.1007/3-211-38053-1_25
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DOI: https://doi.org/10.1007/3-211-38053-1_25
Publisher Name: Springer, Vienna
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