Adaptive Registration of Very Large Images

Abstract

The main difficulty in image registration is in determining the geometric difference between the given images. An image registration method is introduced that determines the geometric difference between two images in a coarse-to-fine fashion. The global transformation needed to register the images is defined in terms of a collection of local transformations, each describing the geometric difference between corresponding local neighborhoods in the images. Preliminary experimental results of the proposed method are presented and discussed.

Cite

Text

Jackson and Goshtasby. "Adaptive Registration of Very Large Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2014. doi:10.1109/CVPRW.2014.58

Markdown

[Jackson and Goshtasby. "Adaptive Registration of Very Large Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2014.](https://mlanthology.org/cvprw/2014/jackson2014cvprw-adaptive/) doi:10.1109/CVPRW.2014.58

BibTeX

@inproceedings{jackson2014cvprw-adaptive,
  title     = {{Adaptive Registration of Very Large Images}},
  author    = {Jackson, Brian P. and Goshtasby, A. Ardeshir},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2014},
  pages     = {351-356},
  doi       = {10.1109/CVPRW.2014.58},
  url       = {https://mlanthology.org/cvprw/2014/jackson2014cvprw-adaptive/}
}