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2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'01) - Volume 1
Metric Self Calibration from Screw-Transform Manifolds
Kauai, Hawaii
December 08-December 14
ISBN: 0-7695-1272-0
Russell A. Manning, University of Wisconsin
Charles R. Dyer, University of Wisconsin
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.
Citation:
Russell A. Manning, Charles R. Dyer, "Metric Self Calibration from Screw-Transform Manifolds," cvpr, vol. 1, pp.590, 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'01) - Volume 1, 2001
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