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A Kendall Shape Space Approach to 3D Shape Estimation from 2D Landmarks

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3D Shape Estimation from 2D Landmarks

Source code and novel dataset of basking shark head skeletons facilitating the reproduction of the results presented in 'A Kendall Shape Space Approach to 3D Shape Estimation from 2D Landmarks' - ECCV 2022.

Citation

If you use this implementation in your academic projects, we politely ask you to aknowledge it in your manuscript by citing our corresponding ECCV paper:

@inproceedings{Paskin2022eccv,
  author    = {Martha Paskin and Daniel Baum and Mason N. Dean and Christoph von Tycowicz},
  title     = {A {K}endall Shape Space Approach to {3D} Shape Estimation from {2D} Landmarks},
  booktitle = {European Conference on Computer Vision},
  pages     = {XX--YY},
  year      = {2022},
  organization ={Springer},
}

If you would like to reference the basking shark data specifically, you may use the follwing BibTex entry:

@misc{Paskin2022data,
  author    = {Martha Paskin and Daniel Baum and Mason N. Dean and Christoph von Tycowicz},
  title     = {A {K}endall Shape Space Approach to {3D} Shape Estimation from {2D} Landmarks -- Source Code and Data},
  doi       = {10.12752/8730},
  note      = {https://github.com/morphomatics/3Dfrom2DLandmarks},
  year      = {2022},
}

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