ML Anthology

Using Geometric Corners to Build a 2D Mosaic from a Set of Image

Imad Zoghlami, Olivier D. Faugeras, Rachid Deriche
CVPR 1997 pp. 420-425
doi:10.1109/CVPR.1997.609359 /cvpr/1997/zoghlami1997cvpr-using/

Abstract

The main problem for building a mosaic is the computation of the warping functions (homographies). In fact two cases are to be distinguished. The first is when the homography is mainly a translation (i.e. The rotation around the optical axis and the zooming factor are small). The second is the general case (when the rotation around the optical axis and zooming are arbitrary). Some efficient methods have been developed to solve the first case. But the second case is more difficult, in particular, when the rotation around the optical axis is very large (90 degrees or more). Often in this case human interaction is needed to provide a first approximation of the transformation that will bring one back to the first case. The authors present a method to solve this problem without human interaction for any rotation around the optical axis and fairly large zooming factors.

CVPR Semantic Scholar

Cite

Text

Zoghlami et al. "Using Geometric Corners to Build a 2D Mosaic from a Set of Image." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997. doi:10.1109/CVPR.1997.609359

Markdown

[Zoghlami et al. "Using Geometric Corners to Build a 2D Mosaic from a Set of Image." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997.](https://mlanthology.org/cvpr/1997/zoghlami1997cvpr-using/) doi:10.1109/CVPR.1997.609359

BibTeX

@inproceedings{zoghlami1997cvpr-using,
  title     = {{Using Geometric Corners to Build a 2D Mosaic from a Set of Image}},
  author    = {Zoghlami, Imad and Faugeras, Olivier D. and Deriche, Rachid},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1997},
  pages     = {420-425},
  doi       = {10.1109/CVPR.1997.609359},
  url       = {https://mlanthology.org/cvpr/1997/zoghlami1997cvpr-using/}
}