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HUMANNET—A Two-Tiered Deep Neural Network Architecture for Self-Occluding Humanoid Pose Reconstruction
Majority of current research focuses on a single static object reconstruction from a given pointcloud. However, the existing approaches are not applicable to real world applications such as dynamic and morphing scene reconstruction. To solve this, we propose a novel two-tiered deep neural network ar...
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| Published in: | Sensors (Basel) |
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| Main Authors: | , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
MDPI
2021
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8229438/ https://ncbi.nlm.nih.gov/pubmed/34201039 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21123945 |
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