A new set of quartic trivariate polynomial equations for stratified camera self-calibration under zero-skew and constant parameters assumptions

Authors:
Adlane Habed;Kassem Al Ismaeil;David Fofi
Affiliations:
Le2i UMR CNRS 6306, University of Bourgogne, Auxerre/Le Creusot, France;Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg;Le2i UMR CNRS 6306, University of Bourgogne, Auxerre/Le Creusot, France
Venue:
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Year:
2012

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Abstract

This paper deals with the problem of self-calibrating a moving camera with constant parameters. We propose a new set of quartic trivariate polynomial equations in the unknown coordinates of the plane at infinity derived under the no-skew assumption. Our new equations allow to further enforce the constancy of the principal point across all images while retrieving the plane at infinity. Six such polynomials, four of which are independent, are obtained for each triplet of images. The proposed equations can be solved along with the so-called modulus constraints and allow to improve the performance of existing methods.