Euclidean reconstruction from constant intrinsic parameters

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...

Full description

Saved in:
Bibliographic Details
Published inProceedings of 13th International Conference on Pattern Recognition Vol. 1; pp. 339 - 343 vol.1
Main Authors Heyden, A., Astrom, K.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1996
Subjects
Cameras
Councils
Equations
Focusing
Geometry
Image reconstruction
Image sequences
Layout
Online AccessGet full text

Cover

More Information
Summary: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.
ISBN:9780818672828
081867282X
ISSN:1051-4651
DOI:10.1109/ICPR.1996.546045