ML Anthology

Threading Fundamental Matrices

Shai Avidan, Amnon Shashua
ECCV 1998 pp. 124-140
doi:10.1007/BFB0055663 /eccv/1998/avidan1998eccv-threading/

Abstract

We present a new function that operates on Fundamental matrices across a sequence of views. The operation, we call “threading”, connects two consecutive Fundamental matrices using the Trilinear tensor as the connecting thread. The threading operation guarantees that consecutive camera matrices are consistent with a unique 3D model, without ever recovering a 3D model. Applications include recovery of camera ego-motion from a sequence of views, image stabilization (plane stabilization) across a sequence, and multi-view image-based rendering.

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Cite

Text

Avidan and Shashua. "Threading Fundamental Matrices." European Conference on Computer Vision, 1998. doi:10.1007/BFB0055663

Markdown

[Avidan and Shashua. "Threading Fundamental Matrices." European Conference on Computer Vision, 1998.](https://mlanthology.org/eccv/1998/avidan1998eccv-threading/) doi:10.1007/BFB0055663

BibTeX

@inproceedings{avidan1998eccv-threading,
  title     = {{Threading Fundamental Matrices}},
  author    = {Avidan, Shai and Shashua, Amnon},
  booktitle = {European Conference on Computer Vision},
  year      = {1998},
  pages     = {124-140},
  doi       = {10.1007/BFB0055663},
  url       = {https://mlanthology.org/eccv/1998/avidan1998eccv-threading/}
}