Euclidean Reconstruction from Constant Intrinsic Parameters

Heyden, Anders; Åström, Karl (1996). Euclidean Reconstruction from Constant Intrinsic Parameters [Host publication title missing], 1,, 339 - 343. 13th International Conference on Pattern Recognition, (ICPR 1996). Vienna, Austria: IEEE - Institute of Electrical and Electronics Engineers Inc.
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Conference Proceeding/Paper | Published | English
Authors:
Heyden, Anders ; Åström, Karl
Department:
Mathematics (Faculty of Engineering)
Abstract:
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
Keywords:
image reconstruction ; image sequences ; matrix algebra
ISBN:
0 8186 7282 X
LUP-ID:
400d4984-2957-43f7-9bf3-1c2ed237b88a | Link: https://lup.lub.lu.se/record/400d4984-2957-43f7-9bf3-1c2ed237b88a | Statistics

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