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.
Author: | Martha Paskin, Daniel BaumORCiD, Mason N. Dean, Christoph von Tycowicz |
---|---|
Document Type: | Software |
MSC-Classification: | 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 | |
Publishing Institution: | Zuse Institute Berlin (ZIB) |
Date of first Publication: | 2022/07/17 |
Version Number: | v1.0 |
Download Url: | https://github.com/morphomatics/3Dfrom2DLandmarks |
Type of software: | Python |
Software Licence: | http://MIT |
Project homepage: | https://github.com/morphomatics/3Dfrom2DLandmarks |
DOI: | https://doi.org/10.12752/8730 |