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Transactions on Computational Science XIX pp 63–77Cite as

Auto-calibration for Image Mosaicing and Stereo Vision

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Part of the book series: Lecture Notes in Computer Science ((TCOMPUTATSCIE,volume 7870))

Abstract

The paper investigates the auto-calibration problem for mobile device cameras. We extend existing algorithms to get a robust method that computes internal camera parameters given a series of distant objects images. The algorithm is tested on real images generated by several different cameras. We estimate the impact of errors in camera calibration parameters in image mosaicing and 3D reconstruction problems.

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Author information

Authors and Affiliations

  1. Itseez Ltd. and Lobachevsky State University of Nizhni Novogord, Russia

    Alexey Spizhevoy & Victor Eruhimov

Authors
  1. Alexey Spizhevoy
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  2. Victor Eruhimov
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada

    Marina L. Gavrilova

  2. CloudFabriQ Ltd., Warnford Court, 29 Throgmorton Street, EC2N 2AT, London, UK

    C. J. Kenneth Tan

  3. Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, Leninskiye Gory, 1-52, MSU, 119991, Moscow, Russia

    Anton Konushin

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Spizhevoy, A., Eruhimov, V. (2013). Auto-calibration for Image Mosaicing and Stereo Vision. In: Gavrilova, M.L., Tan, C.J.K., Konushin, A. (eds) Transactions on Computational Science XIX. Lecture Notes in Computer Science, vol 7870. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39759-2_5

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  • DOI: https://doi.org/10.1007/978-3-642-39759-2_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39758-5

  • Online ISBN: 978-3-642-39759-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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