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Metric Self Calibration From Screw-Transform Manifolds
R. A. Manning and C. R. Dyer, Proc. Computer Vision and Pattern Recognition Conf., 2001, I:590-597.

Abstract

This paper introduces a method for metric self calibration that is based on a novel decomposition of the fundamental matrix between two views taken by a camera with fixed internal parameters. The method blends important advantages of the Kruppa constraints and the modulus constraint: it works directly from fundamental matrices and uses a reduced-parameter representation for stability. General properties of the new decomposition are also developed, including an intuitive interpretation of the three free parameters of internal calibration. The approach is demonstrated on both real and synthetic data.