|Department of Engineering|
|University of Cambridge > Engineering Department > Machine Intelligence Lab|
COLLINEATION ESTIMATION FROM TWO UNMATCHED VIEWS OF AN UNKNOWN PLANAR CONTOUR FOR VISUAL SERVOING.
G. Chesi, E. Malis and R. Cipolla
In this paper we describe a method to compute the collineation matrix between two unmatched images of an unknown planar contour described using a B-spline snake. The two images of the contour are matched and the collineation matrix is used to servo a camera mounted on the robot end-effector using a 2 1/2 D visual servoing technique. The experimental results, obtained using common planar objects, show that our method give very good results and allow the robot end-effector to be positioned with a great precision.
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2005 Cambridge University Engineering Dept
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