ProPLIKS: Probablistic 3D human body pose estimation

We present a novel approach for 3D human pose estimation by employing probabilistic modeling. This approach leverages the advantages of normalizing flows in non-Euclidean geometries to address uncertain poses. Specifically, our method employs normalizing flow tailored to the SO(3) rotational group,...

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Bibliographische Detailangaben

Hauptverfasser:	Shetty, Karthik, Birkhold, Annette, Egger, Bernhard, Jaganathan, Srikrishna, Strobel, Norbert, Kowarschik, Markus, Maier, Andreas
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
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