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ACCV
1998
Springer

Minimal Conditions on Intrinsic Parameters for Euclidean Reconstruction

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Minimal Conditions on Intrinsic Parameters for Euclidean Reconstruction
Abstract In this paper will be investigated what 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 a 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
Anders Heyden, Kalle Åström
Added 05 Aug 2010
Updated 05 Aug 2010
Type Conference
Year 1998
Where ACCV
Authors Anders Heyden, Kalle Åström
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