Euclidean Reconstruction from Image Sequences with Varying and Unknown Focal Length and Principal Point
Heyden, Anders; Åström, Karl (1997). Euclidean Reconstruction from Image Sequences with Varying and Unknown Focal Length and Principal Point Proceedings Conference on Computer Vision and Pattern Recognition, 438 - 443. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1997. San Juan, Puerto Rico: IEEE - Institute of Electrical and Electronics Engineers Inc.
Conference Proceeding/Paper
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Published
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English
Authors:
Heyden, Anders
;
Åström, Karl
Department:
Mathematics (Faculty of Engineering)
Abstract:
The special case of reconstruction from image sequences taken by cameras with skew equal to 0 and aspect ratio equal to 1 has been treated. These type of cameras, here called cameras with Euclidean image planes, represent rigid projections where neither the principal point nor the focal length is known, it is shown that it is possible to reconstruct an unknown object from images taken by a camera with Euclidean image plane up to similarity transformations, i.e., Euclidean transformations plus changes in the global scale. An algorithm, using bundle adjustment techniques, has been implemented. The performance of the algorithm is shown on simulated data
Keywords:
cameras ;
unknown principal point ;
varying principal point ;
unknown focal length ;
image sequences ;
varying focal length ;
Euclidean reconstruction ;
skew ;
aspect ratio ;
Euclidean image planes ;
rigid projections ;
unknown object reconstruction ;
similarity transformations ;
Euclidean transformations ;
global scale ;
algorithm performance ;
bundle adjustment techniques ;
simulated data ;
image reconstruction
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