Learning Pose Specific Representations by Predicting Different Views

The labeled data required to learn pose estimation for articulated objects is difficult to provide in the desired quantity, realism, density, and accuracy. To address this issue, we develop a method to learn representations, which are very specific for articulated poses, without the need for labeled...

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Veröffentlicht in:	arXiv.org 2018-05
Hauptverfasser:	Poier, Georg, Schinagl, David, Bischof, Horst
Format:	Artikel
Sprache:	eng
Schlagworte:	Mathematical models Representations Training
Online-Zugang:	Volltext
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