ML Anthology

A New Structure--from--Motion Ambiguity

John Oliensis
CVPR 1999 pp. 1185-1191
doi:10.1109/CVPR.1999.786937 /cvpr/1999/oliensis1999cvpr-new/

Abstract

This paper demonstrates the existence of a generic approximate ambiguity in Euclidean structure from motion (SFM) which applies to scenes with large depth variation. In projective SFM the ambiguity is absent, but the maximum-likelihood reconstruction is more likely to have occasional very large errors. The analysis gives a semi-quantitative characterization of the least-squares error surface over a domain complementary to that analyzed by Jepson/Heeger/Maybank.

CVPR Semantic Scholar

Cite

Text

Oliensis. "A New Structure--from--Motion Ambiguity." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1999. doi:10.1109/CVPR.1999.786937

Markdown

[Oliensis. "A New Structure--from--Motion Ambiguity." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1999.](https://mlanthology.org/cvpr/1999/oliensis1999cvpr-new/) doi:10.1109/CVPR.1999.786937

BibTeX

@inproceedings{oliensis1999cvpr-new,
  title     = {{A New Structure--from--Motion Ambiguity}},
  author    = {Oliensis, John},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1999},
  pages     = {1185-1191},
  doi       = {10.1109/CVPR.1999.786937},
  url       = {https://mlanthology.org/cvpr/1999/oliensis1999cvpr-new/}
}