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Minimal Conditions on Intrinsic Parameters for Euclidean Reconstruction

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Author

Summary, in English

We investigate the constraints on the intrinsic parameters that are needed in order to reconstruct an unknown scene from a number of its projective images. Two such minimal cases are studied in detail. Firstly, it is shown that it is sufficient to know the skew parameter, even if all other parameters are unknown and varying, to obtain an Euclidean reconstruction. Secondly, the same thing can be done for known aspect ratio, again when all other intrinsic parameters are unknown and varying. In fact, we show that it is sufficient to know any of the 5 intrinsic parameters to make Euclidean reconstruction. An algorithm, based upon bundle adjustment techniques, to obtain Euclidean reconstruction in the above mentioned cases are presented. Experiments are shown on the slightly simpler case of both known aspect ratio and skew

Publishing year

1997

Language

English

Pages

169-176

Publication/Series

Computer Vision - ACCV '98. Third Asian Conference on Computer Vision. Proceedings

Volume

2

Document type

Conference paper

Publisher

Springer

Topic

  • Mathematics

Conference name

Computer Vision - ACCV'98

Conference date

1998-01-08 - 1998-01-10

Conference place

Hong Kong, China

Status

Published

ISBN/ISSN/Other

  • ISBN: 3 540 63931 4