Reconstruction of 3D-Curves from 2D-Images Using Affine Shape Methods for Curves
Abstract
In this paper, we propose an algorithm for doing reconstruction of general 3D-curves from a number of 2D-images taken by uncalibrated cameras. No point correspondences between the images are assumed. The curve and the view points are uniquely reconstructed, modulo common projective transformations and the point correspondence problem is solved. Furthermore, the algorithm is independent of the choice of coordinates, as it is based on orthogonal projections and aligning subspaces. The algorithm is based on an extension of affine shape of finite point configurations to more general objects.
Cite
Text
Berthilsson and Åström. "Reconstruction of 3D-Curves from 2D-Images Using Affine Shape Methods for Curves." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997. doi:10.1109/CVPR.1997.609368Markdown
[Berthilsson and Åström. "Reconstruction of 3D-Curves from 2D-Images Using Affine Shape Methods for Curves." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997.](https://mlanthology.org/cvpr/1997/berthilsson1997cvpr-reconstruction/) doi:10.1109/CVPR.1997.609368BibTeX
@inproceedings{berthilsson1997cvpr-reconstruction,
title = {{Reconstruction of 3D-Curves from 2D-Images Using Affine Shape Methods for Curves}},
author = {Berthilsson, Rikard and Åström, Kalle},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1997},
pages = {476-481},
doi = {10.1109/CVPR.1997.609368},
url = {https://mlanthology.org/cvpr/1997/berthilsson1997cvpr-reconstruction/}
}