ML Anthology

3-D Shape Reconstruction of Retinal Fundus

Tae Eun Choe, Isaac Cohen, Gérard G. Medioni
CVPR 2006 pp. 2277-2284
doi:10.1109/CVPR.2006.10 /cvpr/2006/choe2006cvpr-d/

Abstract

We present a method for 3-D shape reconstruction of retinal fundus from fluorescein images. Our method extracts the location of vessels' bifurcation as a reliable feature for estimating the epipolar geometry using a plane-and-parallax approach. The proposed solution robustly estimates the fundamental matrix for nearly planar surfaces, such as the retinal fundus. We propose the use of mutual information criteria for accurate estimation of the disparity maps, where the matched Y-features are used for automatically estimating the bounds of the disparities range space. Our experimental results validate the proposed method on sets of difficult fluorescein image pairs.

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Cite

Text

Choe et al. "3-D Shape Reconstruction of Retinal Fundus." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2006. doi:10.1109/CVPR.2006.10

Markdown

[Choe et al. "3-D Shape Reconstruction of Retinal Fundus." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2006.](https://mlanthology.org/cvpr/2006/choe2006cvpr-d/) doi:10.1109/CVPR.2006.10

BibTeX

@inproceedings{choe2006cvpr-d,
  title     = {{3-D Shape Reconstruction of Retinal Fundus}},
  author    = {Choe, Tae Eun and Cohen, Isaac and Medioni, Gérard G.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2006},
  pages     = {2277-2284},
  doi       = {10.1109/CVPR.2006.10},
  url       = {https://mlanthology.org/cvpr/2006/choe2006cvpr-d/}
}