Efficient Pairwise Neuroimage Analysis using the Soft Jaccard Index and 3D Keypoint Sets

@article{Chauvin2021EfficientPN,
  title={Efficient Pairwise Neuroimage Analysis using the Soft Jaccard Index and 3D Keypoint Sets},
  author={Laurent Chauvin and Kuldeep Kumar and Christian Desrosiers and William M. Wells and Matthew Toews},
  journal={IEEE transactions on medical imaging},
  year={2021},
  volume={PP}
}
We propose a novel pairwise distance measure between image keypoint sets, for the purpose of large-scale medical image indexing. Our measure generalizes the Jaccard index to account for soft set equivalence (SSE) between keypoint elements, via an adaptive kernel framework modeling uncertainty in keypoint appearance and geometry. A new kernel is proposed to quantify the variability of keypoint geometry in location and scale. Our distance measure may be estimated between O(N2) image pairs in O(N… Expand

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