Maintaining Multiple Motion Model Hypotheses Through Many Views to Recover Matching and Structure

Philip H. S. Torr, Andrew W. Fitzgibbon, Andrew Zisserman

ICCV 1998 pp. 485-491

doi:10.1109/ICCV.1998.710762 /iccv/1998/torr1998iccv-maintaining/

Abstract

In order to recover structure from images it is desirable to use many views to obtain the best possible estimates. However, whilst recovering projective structure and motion from such extended sequences problems arise that are not apparent from a general view-point/structure approach. Foremost amongst these are (a) maintaining image correspondences consistently through many images, and (b) identifying images, within the sequence, for which structure cannot be reliably recovery. Within this paper the use of multiple motion model hypotheses is explored as an aid to solve both of these problems.

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Cite

Text

Torr et al. "Maintaining Multiple Motion Model Hypotheses Through Many Views to Recover Matching and Structure." IEEE/CVF International Conference on Computer Vision, 1998. doi:10.1109/ICCV.1998.710762

Markdown

[Torr et al. "Maintaining Multiple Motion Model Hypotheses Through Many Views to Recover Matching and Structure." IEEE/CVF International Conference on Computer Vision, 1998.](https://mlanthology.org/iccv/1998/torr1998iccv-maintaining/) doi:10.1109/ICCV.1998.710762

BibTeX

@inproceedings{torr1998iccv-maintaining,
  title     = {{Maintaining Multiple Motion Model Hypotheses Through Many Views to Recover Matching and Structure}},
  author    = {Torr, Philip H. S. and Fitzgibbon, Andrew W. and Zisserman, Andrew},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {1998},
  pages     = {485-491},
  doi       = {10.1109/ICCV.1998.710762},
  url       = {https://mlanthology.org/iccv/1998/torr1998iccv-maintaining/}
}