ML Anthology

A Feature-Based Technique for Joint, Linear Estimation of High-Order Image-to-Mosaic Transformations: Application to Mosaicing the Curved Human Retina

Ali Can, Charles V. Stewart, Badrinath Roysam, Howard L. Tanenbaum
CVPR 2000 pp. 2585-2591
doi:10.1109/CVPR.2000.854924 /cvpr/2000/can2000cvpr-feature/
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Cite

Text

Can et al. "A Feature-Based Technique for Joint, Linear Estimation of High-Order Image-to-Mosaic Transformations: Application to Mosaicing the Curved Human Retina." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2000. doi:10.1109/CVPR.2000.854924

Markdown

[Can et al. "A Feature-Based Technique for Joint, Linear Estimation of High-Order Image-to-Mosaic Transformations: Application to Mosaicing the Curved Human Retina." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2000.](https://mlanthology.org/cvpr/2000/can2000cvpr-feature/) doi:10.1109/CVPR.2000.854924

BibTeX

@inproceedings{can2000cvpr-feature,
  title     = {{A Feature-Based Technique for Joint, Linear Estimation of High-Order Image-to-Mosaic Transformations: Application to Mosaicing the Curved Human Retina}},
  author    = {Can, Ali and Stewart, Charles V. and Roysam, Badrinath and Tanenbaum, Howard L.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2000},
  pages     = {2585-2591},
  doi       = {10.1109/CVPR.2000.854924},
  url       = {https://mlanthology.org/cvpr/2000/can2000cvpr-feature/}
}