Self-Calibration of a Moving Zoom-Lens 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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https://hal.inria.fr/inria-00525691
Contributeur : Peter Sturm <>
Soumis le : mardi 12 octobre 2010 - 14:33:14
Dernière modification le : jeudi 11 janvier 2018 - 06:20:04

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Peter Sturm. Self-Calibration of a Moving Zoom-Lens Camera by Pre-Calibration. Image and Vision Computing, Elsevier, 1997, 15 (8), pp.583-589. 〈http://www.sciencedirect.com/science/article/pii/S0262885697000152〉. 〈10.1016/S0262-8856(97)00015-2〉. 〈inria-00525691〉

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