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The application of zoom camera lenses in machine vision has gained a lot of attention lately. The main difficulty in their employment lies in the accurate estimation of their intrinsic parameters. In this paper, we propose novel approaches to determine these parameters by estimating continuous models of their variations as the focus and the zoom change. The first method is based on the moving least...
The accuracy of machine vision systems is highly dependent on the correct estimates of the camera intrinsic parameters. This precision is needed in numerous applications like telepresence and robot navigation. In this work, a new technique is proposed, based on the moving least-squares (MLS) approach, to model the intrinsic parameters of an automatic zoom lens camera system. The key issue is to generate...
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