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Euclidean Reconstruction from Constant Intrinsic Parameters

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Author

Summary, in English

A new method for Euclidean reconstruction from sequences of images taken by uncalibrated cameras, with constant intrinsic parameters, is described. Our approach leads to a variant of the so called Kruppa equations. It is shown that it is possible to calculate the intrinsic parameters as well as the Euclidean reconstruction from at least three images. The novelty of our approach is that we build our calculation on a projective reconstruction obtained without the assumption on constant intrinsic parameters. This assumption simplifies the analysis, because a projective reconstruction is already obtained and we need “only” to find the correct Euclidean reconstruction among all possible projective reconstructions

Publishing year

1996

Language

English

Pages

339-343

Publication/Series

[Host publication title missing]

Volume

1

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Mathematics

Keywords

  • image reconstruction
  • image sequences
  • matrix algebra

Conference name

13th International Conference on Pattern Recognition, (ICPR 1996)

Conference date

1996-08-25 - 1996-08-29

Conference place

Vienna, Austria

Status

Published

ISBN/ISSN/Other

  • ISBN: 0 8186 7282 X