ML Anthology

Self-Calibration from Image Triplets

Martin Armstrong, Andrew Zisserman, Richard I. Hartley
ECCV 1996 pp. 3-16
doi:10.1007/BFB0015519 /eccv/1996/armstrong1996eccv-self/

Abstract

We describe a method for determining affine and metric calibration of a camera with unchanging internal parameters undergoing planar motion. It is shown that affine calibration is recovered uniquely, and metric calibration up to a two fold ambiguity. The novel aspects of this work are: first, relating the distinguished objects of 3D Euclidean geometry to fixed entities in the image; second, showing that these fixed entities can be computed uniquely via the trifocal tensor between image triplets; third, a robust and automatic implementation of the method. Results are included of affine and metric calibration and structure recovery using images of real scenes.

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Cite

Text

Armstrong et al. "Self-Calibration from Image Triplets." European Conference on Computer Vision, 1996. doi:10.1007/BFB0015519

Markdown

[Armstrong et al. "Self-Calibration from Image Triplets." European Conference on Computer Vision, 1996.](https://mlanthology.org/eccv/1996/armstrong1996eccv-self/) doi:10.1007/BFB0015519

BibTeX

@inproceedings{armstrong1996eccv-self,
  title     = {{Self-Calibration from Image Triplets}},
  author    = {Armstrong, Martin and Zisserman, Andrew and Hartley, Richard I.},
  booktitle = {European Conference on Computer Vision},
  year      = {1996},
  pages     = {3-16},
  doi       = {10.1007/BFB0015519},
  url       = {https://mlanthology.org/eccv/1996/armstrong1996eccv-self/}
}