Auto-calibration for Image Mosaicing and Stereo Vision

  • Alexey Spizhevoy
  • Victor Eruhimov
Conference paper

DOI: 10.1007/978-3-642-39759-2_5

Volume 7870 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
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

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.

Keywords

auto-calibration camera parameters errors effect real datasets image mosaicing stereo 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Alexey Spizhevoy
    • 1
  • Victor Eruhimov
    • 1
  1. 1.Itseez Ltd. and Lobachevsky State University of Nizhni NovogordRussia