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Image-based visual servoing on planar objects of unknown shape

Christophe Collewet 1 François Chaumette 2 P. Loisel 1
2 VISTA - Vision spatio-temporelle et active
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : This paper proposes a way to achieve positioning tasks by visual servoing, for any orientation of the camera, when the desired image of the observed object cannot be precisely described. The object is assumed to be planar and motionless but no knowledge about its shape or pose is required. To simplify the problem, first, we treat the case of a threadlike object and then we show how our approach can be generalized to an object with three particular points. The control law is based on the use of 2d visual servoing and on an estimation of a 3d parameter. Experimental results relative to objects of unknown shape are given to validate the approach. In addition, an algorithm to estimate the depth between the object and the camera is provided which leads to the dimensions of the object.
Mots-clés : Asservissement robotique
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https://hal.inria.fr/inria-00352119
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  • HAL Id : inria-00352119, version 1
  • IRSTEA : PUB00009369

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Christophe Collewet, François Chaumette, P. Loisel. Image-based visual servoing on planar objects of unknown shape. IEEE Int. Conf. on Robotics and Automation, ICRA'01, 2001, Seoul, South Korea. pp.247-252. ⟨inria-00352119⟩

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