Self-Calibration of a Moving Camera by Pre-Calibration

Peter Sturm 1
1 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : We consider the problem of self-calibrating a moving camera which is equipped with a zoom lens. This consists essentially in estimating the 5 intrinsic parameters of the pinhole camera model. However, these parameters are not independent. Thus, we propose to do a pre-calibration of the camera, with the aim to model the interdependence of the intrinsic parameters. We show that self-calibration then comes down to the estimation of only 1 intrinsic parameter. We propose a method which exploits this and which does not need an initialization of the intrinsic parameters. The method consists mainly in finding the closest common root of several low-degree polynomials. Besides the simple computations needed, it is easy to parallelize and thus well suited for future real-time application. The improvement of our method on self-calibration without pre-calibration is shown by experiment.
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Peter Sturm. Self-Calibration of a Moving Camera by Pre-Calibration. 7th British Machine Vision Conference (BMVC '96), Sep 1996, Edinburgh, United Kingdom. pp.675-684. ⟨inria-00525698⟩

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