ML Anthology

Minimal Solutions for Panoramic Stitching

Matthew A. Brown, Richard I. Hartley, David Nistér
CVPR 2007
doi:10.1109/CVPR.2007.383082 /cvpr/2007/brown2007cvpr-minimal/

Abstract

This paper presents minimal solutions for the geometric parameters of a camera rotating about its optical centre. In particular we present new 2 and 3 point solutions for the homography induced by a rotation with 1 and 2 unknown focal length parameters. Using tests on real data, we show that these algorithms outperform the standard 4 point linear homography solution in terms of accuracy of focal length estimation and image based projection errors.

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Cite

Text

Brown et al. "Minimal Solutions for Panoramic Stitching." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007. doi:10.1109/CVPR.2007.383082

Markdown

[Brown et al. "Minimal Solutions for Panoramic Stitching." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007.](https://mlanthology.org/cvpr/2007/brown2007cvpr-minimal/) doi:10.1109/CVPR.2007.383082

BibTeX

@inproceedings{brown2007cvpr-minimal,
  title     = {{Minimal Solutions for Panoramic Stitching}},
  author    = {Brown, Matthew A. and Hartley, Richard I. and Nistér, David},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2007},
  doi       = {10.1109/CVPR.2007.383082},
  url       = {https://mlanthology.org/cvpr/2007/brown2007cvpr-minimal/}
}