A Kendall Shape Space Approach to 3D Shape Estimation from 2D Landmarks -- Source Code and Data
- 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.
Verfasserangaben: | Martha Paskin, Daniel BaumORCiD, Mason N. Dean, Christoph von Tycowicz |
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Dokumentart: | Software |
MSC-Klassifikation: | 53-XX DIFFERENTIAL GEOMETRY (For differential topology, see 57Rxx. For foundational questions of differentiable manifolds, see 58Axx) |
68-XX COMPUTER SCIENCE (For papers involving machine computations and programs in a specific mathematical area, see Section -04 in that area) | |
92-XX BIOLOGY AND OTHER NATURAL SCIENCES | |
Veröffentlichende Institution: | Zuse Institute Berlin (ZIB) |
Datum der Erstveröffentlichung: | 17.07.2022 |
Versionsnummer: | v1.0 |
Download Url: | https://github.com/morphomatics/3Dfrom2DLandmarks |
Software Type: | Python |
Lizenz der Software: | http://MIT |
Projekt Homepage: | https://github.com/morphomatics/3Dfrom2DLandmarks |
DOI: | https://doi.org/10.12752/8730 |