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Classifying and Solving Minimal Structure and Motion Problems with Missing Data

Magnus Oskarsson, Kalle Åström, Niels Chr. Overgaard
ICCV 2001 pp. 628-634
doi:10.1109/ICCV.2001.10072 /iccv/2001/oskarsson2001iccv-classifying/

Abstract

In this paper we investigate the structure and motion problem for calibrated one-dimensional projections of a two-dimensional environment. In a previous paper the structure and motion problem for all cases with non-missing data was classified and solved. Our aim is here to classify all structure and motion problems, even those with missing data, and to solve them. Although our focus here is on one-dimensional retina, the classification part works equally well for ordinary cameras, and we give some results for those as well.

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Text

Oskarsson et al. "Classifying and Solving Minimal Structure and Motion Problems with Missing Data." IEEE/CVF International Conference on Computer Vision, 2001. doi:10.1109/ICCV.2001.10072

Markdown

[Oskarsson et al. "Classifying and Solving Minimal Structure and Motion Problems with Missing Data." IEEE/CVF International Conference on Computer Vision, 2001.](https://mlanthology.org/iccv/2001/oskarsson2001iccv-classifying/) doi:10.1109/ICCV.2001.10072

BibTeX

@inproceedings{oskarsson2001iccv-classifying,
  title     = {{Classifying and Solving Minimal Structure and Motion Problems with Missing Data}},
  author    = {Oskarsson, Magnus and Åström, Kalle and Overgaard, Niels Chr.},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {2001},
  pages     = {628-634},
  doi       = {10.1109/ICCV.2001.10072},
  url       = {https://mlanthology.org/iccv/2001/oskarsson2001iccv-classifying/}
}