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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.

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Metadaten
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
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