Towards Viewpoint Invariant 3D Human Pose Estimation

ECCV, pp. 160-177, 2016.

Cited by: 91|Bibtex|Views34
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

We propose a viewpoint invariant model for 3D human pose estimation from a single depth image. To achieve this, our discriminative model embeds local regions into a learned viewpoint invariant feature space. Formulated as a multi-task learning problem, our model is able to selectively predict partial poses in the presence of noise and occ...More

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