Euclidean reconstruction from image sequences with varying and unknown focal length and principal point
- 1 January 1997
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 438-443
- https://doi.org/10.1109/cvpr.1997.609362
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
This publication has 4 references indexed in Scilit:
- Euclidean 3D reconstruction from image sequences with variable focal lengthsPublished by Springer Nature ,1996
- The modulus constraint: a new constraint self-calibrationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1996
- Euclidean reconstruction from constant intrinsic parametersPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1996
- Camera self-calibration: Theory and experimentsPublished by Springer Nature ,1992