Computational implementation of: "A New Geometric Framework for 3D Skeletal Action Representation in Kendall Space"
Computational implementation of: "A New Geometric Framework for 3D Skeletal Action Representation in Kendall Space"
This repository contains source codes used to reproduce several results reported in the preprint: “A New Geometric Framework for 3D Skeletal Action Representation in Kendall Space” Contents: ReadMe-Global (in Word and pdf): General explanation of the project structure. Folder: CodesHAR-Mathematica: ReadMe, preparation data and Mathematica scripts used to compute the kNN classification rates reported in Tables 4 and 5 of the preprint. Folder: CodesHAR-R-Python: ReadMe, R scripts and Python (Google Colab) notebooks used to obtain the results presented in Table 6 and Figure 4 for the action subgroup AS3.
skeleton sequences, 3D action recognition, Kendall shape space, Python (Google Colab), extrinsic geometry, R, Mathematica
skeleton sequences, 3D action recognition, Kendall shape space, Python (Google Colab), extrinsic geometry, R, Mathematica
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